id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
1011.4829 | Closed-Form Solutions to A Category of Nuclear Norm Minimization
Problems | [
"cs.IT",
"cs.CV",
"math.IT"
] | It is an efficient and effective strategy to utilize the nuclear norm approximation to learn low-rank matrices, which arise frequently in machine learning and computer vision. So the exploration of nuclear norm minimization problems is gaining much attention recently. In this paper we shall prove that the following Low... | {
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1011.4833 | A Logical Charaterisation of Ordered Disjunction | [
"cs.LO",
"cs.AI"
] | In this paper we consider a logical treatment for the ordered disjunction operator 'x' introduced by Brewka, Niemel\"a and Syrj\"anen in their Logic Programs with Ordered Disjunctions (LPOD). LPODs are used to represent preferences in logic programming under the answer set semantics. Their semantics is defined by first... | {
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1011.4859 | Geographic constraints on social network groups | [
"physics.soc-ph",
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"cs.SI"
] | Social groups are fundamental building blocks of human societies. While our social interactions have always been constrained by geography, it has been impossible, due to practical difficulties, to evaluate the nature of this restriction on social group structure. We construct a social network of individuals whose most ... | {
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1011.4910 | Sensor Selection for Event Detection in Wireless Sensor Networks | [
"cs.IT",
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"stat.AP"
] | We consider the problem of sensor selection for event detection in wireless sensor networks (WSNs). We want to choose a subset of p out of n sensors that yields the best detection performance. As the sensor selection optimality criteria, we propose the Kullback-Leibler and Chernoff distances between the distributions o... | {
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1011.4969 | Learning in A Changing World: Restless Multi-Armed Bandit with Unknown
Dynamics | [
"math.OC",
"cs.LG",
"math.PR"
] | We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics in which a player chooses M out of N arms to play at each time. The reward state of each arm transits according to an unknown Markovian rule when it is played and evolves according to an arbitrary unknown random process when it is passive.... | {
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1011.5039 | Information and Interpretation of Quantum Mechanics | [
"quant-ph",
"cs.IT",
"math.IT"
] | This work is a discussion on the concept of information. We define here information as an abstraction that is able to be copied. We consider the connection between the process of copying information in quantum systems and the emergence of the so-called classical realism. The problem of interpretation of quantum mechani... | {
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1011.5053 | Tight Sample Complexity of Large-Margin Learning | [
"cs.LG",
"math.PR",
"math.ST",
"stat.ML",
"stat.TH"
] | We obtain a tight distribution-specific characterization of the sample complexity of large-margin classification with L_2 regularization: We introduce the \gamma-adapted-dimension, which is a simple function of the spectrum of a distribution's covariance matrix, and show distribution-specific upper and lower bounds on ... | {
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1011.5065 | Gaussian Relay Channel Capacity to Within a Fixed Number of Bits | [
"cs.IT",
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] | In this paper, we show that the capacity of the three-node Gaussian relay channel can be achieved to within 1 and 2 bit/sec/Hz using compress-and-forward and amplify-and-forward relaying, respectively. | {
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1011.5076 | Application of a Quantum Ensemble Model to Linguistic Analysis | [
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"cs.CL"
] | A new set of parameters to describe the word frequency behavior of texts is proposed. The analogy between the word frequency distribution and the Bose-distribution is suggested and the notion of "temperature" is introduced for this case. The calculations are made for English, Ukrainian, and the Guinean Maninka language... | {
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1011.5105 | Logical Foundations and Complexity of 4QL, a Query Language with
Unrestricted Negation | [
"cs.LO",
"cs.DB"
] | The paper discusses properties of a DATALOG$^{\neg\neg}$-like query language 4QL, originally outlined in [MS10]. Negated literals in heads of rules naturally lead to inconsistencies. On the other hand, rules do not have to attach meaning to some literals. Therefore 4QL is founded on a four-valued semantics, employing t... | {
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1011.5113 | State-Based Random Access: A Cross-Layer Approach | [
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"math.IT"
] | In this paper, we propose novel state-based algorithms which dynamically control the random access network based on its current state such as channel states of wireless links and backlog states of the queues. After formulating the problem, corresponding algorithms with diverse control functions are proposed. Consequent... | {
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1011.5115 | Optimal Utility-Energy tradeoff in Delay Constrained Random Access
Networks | [
"cs.IT",
"cs.NI",
"math.IT"
] | Rate, energy and delay are three main parameters of interest in ad-hoc networks. In this paper, we discuss the problem of maximizing network utility and minimizing energy consumption while satisfying a given transmission delay constraint for each packet. We formulate this problem in the standard convex optimization for... | {
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1011.5117 | Energy and Utility Optimization in Wireless Networks with Random Access | [
"cs.IT",
"math.IT"
] | Energy consumption is a main issue of concern in wireless networks. Energy minimization increases the time that networks' nodes work properly without recharging or substituting batteries. Another criterion for network performance is data transmission rate which is usually quantified by a network utility function. There... | {
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1011.5122 | Utility Constrained Energy Minimization In Aloha Networks | [
"cs.IT",
"math.IT"
] | In this paper we consider the issue of energy efficiency in random access networks and show that optimizing transmission probabilities of nodes can enhance network performance in terms of energy consumption and fairness. First, we propose a heuristic power control method that improves throughput, and then we model the ... | {
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1011.5124 | Delay Constrained Utility Maximization in Multihop Random Access
Networks | [
"cs.IT",
"cs.NI",
"cs.SY",
"math.IT",
"math.OC"
] | Multi-hop random access networks have received much attention due to their distributed nature which facilitates deploying many new applications over the sensor and computer networks. Recently, utility maximization framework is applied in order to optimize performance of such networks, however proposed algorithms result... | {
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1011.5164 | Living City, a Collaborative Browser-based Massively Multiplayer Online
Game | [
"cs.CY",
"cs.SI"
] | This work presents the design and implementation of our Browser-based Massively Multiplayer Online Game, Living City, a simulation game fully developed at the University of Messina. Living City is a persistent and real-time digital world, running in the Web browser environment and accessible from users without any clie... | {
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1011.5167 | A Coder-Decoder model for use in Lossless Data Compression | [
"cs.IT",
"math.IT"
] | This article describes a technique of using a trigonometric function and combinatorial calculations to code or transform any finite sequence of binary numbers (0s and 1s) of any length to a unique set of three Real numbers. In reverse, these three Real numbers can be used independently to reconstruct the original Binar... | {
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1011.5168 | Analyzing the Facebook Friendship Graph | [
"cs.SI",
"physics.soc-ph"
] | Online Social Networks (OSN) during last years acquired a huge and increasing popularity as one of the most important emerging Web phenomena, deeply modifying the behavior of users and contributing to build a solid substrate of connections and relationships among people using the Web. In this preliminary work paper, ou... | {
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1011.5188 | La r\'eduction de termes complexes dans les langues de sp\'ecialit\'e | [
"cs.CL"
] | Our study applies statistical methods to French and Italian corpora to examine the phenomenon of multi-word term reduction in specialty languages. There are two kinds of reduction: anaphoric and lexical. We show that anaphoric reduction depends on the discourse type (vulgarization, pedagogical, specialized) but is inde... | {
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1011.5202 | Covered Clause Elimination | [
"cs.LO",
"cs.AI"
] | Generalizing the novel clause elimination procedures developed in [M. Heule, M. J\"arvisalo, and A. Biere. Clause elimination procedures for CNF formulas. In Proc. LPAR-17, volume 6397 of LNCS, pages 357-371. Springer, 2010.], we introduce explicit (CCE), hidden (HCCE), and asymmetric (ACCE) variants of a procedure tha... | {
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1011.5209 | The semantic mapping of words and co-words in contexts | [
"cs.CL",
"stat.AP"
] | Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of documents. The measurement of semantics as similarity in patterns (correlations) and latent variables (factor analysis) has been enhanced by computer... | {
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1011.5239 | Preferential attachment in growing spatial networks | [
"cond-mat.dis-nn",
"cond-mat.stat-mech",
"cs.SI",
"physics.soc-ph"
] | We obtain the degree distribution for a class of growing network models on flat and curved spaces. These models evolve by preferential attachment weighted by a function of the distance between nodes. The degree distribution of these models is similar to the one of the fitness model of Bianconi and Barabasi, with a fitn... | {
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1011.5270 | Classifying Clustering Schemes | [
"stat.ML",
"cs.LG"
] | Many clustering schemes are defined by optimizing an objective function defined on the partitions of the underlying set of a finite metric space. In this paper, we construct a framework for studying what happens when we instead impose various structural conditions on the clustering schemes, under the general heading of... | {
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1011.5274 | Jamming Games in the MIMO Wiretap Channel With an Active Eavesdropper | [
"cs.IT",
"math.IT"
] | This paper investigates reliable and covert transmission strategies in a multiple-input multiple-output (MIMO) wiretap channel with a transmitter, receiver and an adversarial wiretapper, each equipped with multiple antennas. In a departure from existing work, the wiretapper possesses a novel capability to act either as... | {
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1011.5287 | Distributed Storage Allocations | [
"cs.IT",
"math.IT"
] | We examine the problem of allocating a given total storage budget in a distributed storage system for maximum reliability. A source has a single data object that is to be coded and stored over a set of storage nodes; it is allowed to store any amount of coded data in each node, as long as the total amount of storage us... | {
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1011.5298 | Bayesian Sequential Detection with Phase-Distributed Change Time and
Nonlinear Penalty -- A POMDP Approach | [
"cs.IT",
"math.IT",
"stat.ME"
] | We show that the optimal decision policy for several types of Bayesian sequential detection problems has a threshold switching curve structure on the space of posterior distributions. This is established by using lattice programming and stochastic orders in a partially observed Markov decision process (POMDP) framework... | {
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1011.5314 | ML(n)BiCGStab: Reformulation, Analysis and Implementation | [
"math.NA",
"cs.IT",
"math.DS",
"math.IT",
"math.OC",
"math.ST",
"stat.TH"
] | With the aid of index functions, we re-derive the ML(n)BiCGStab algorithm in a paper by Yeung and Chan in 1999 in a more systematic way. It turns out that there are n ways to define the ML(n)BiCGStab residual vector. Each definition will lead to a different ML(n)BiCGStab algorithm. We demonstrate this by presenting a s... | {
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1011.5349 | Distributed Graph Coloring: An Approach Based on the Calling Behavior of
Japanese Tree Frogs | [
"cs.AI"
] | Graph coloring, also known as vertex coloring, considers the problem of assigning colors to the nodes of a graph such that adjacent nodes do not share the same color. The optimization version of the problem concerns the minimization of the number of used colors. In this paper we deal with the problem of finding valid c... | {
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1011.5364 | Optimizing On-Line Advertising | [
"cs.IR"
] | We want to find the optimal strategy for displaying advertisements e.g. banners, videos, in given locations at given times under some realistic dynamic constraints. Our primary goal is to maximize the expected revenue in a given period of time, i.e. the total profit produced by the impressions, which depends on profit-... | {
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1011.5367 | The dynamical strength of social ties in information spreading | [
"physics.soc-ph",
"cs.SI"
] | We investigate the temporal patterns of human communication and its influence on the spreading of information in social networks. The analysis of mobile phone calls of 20 million people in one country shows that human communication is bursty and happens in group conversations. These features have opposite effects in in... | {
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1011.5395 | The Sample Complexity of Dictionary Learning | [
"stat.ML",
"cs.LG"
] | A large set of signals can sometimes be described sparsely using a dictionary, that is, every element can be represented as a linear combination of few elements from the dictionary. Algorithms for various signal processing applications, including classification, denoising and signal separation, learn a dictionary from ... | {
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1011.5425 | Layered Label Propagation: A MultiResolution Coordinate-Free Ordering
for Compressing Social Networks | [
"cs.DS",
"cs.SI",
"physics.soc-ph"
] | We continue the line of research on graph compression started with WebGraph, but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the approaches that have been used for a long time to compress web graphs rely on a specific ordering of the nodes (lexicographical URL ordering... | {
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1011.5452 | Convergence Speed of the Consensus Algorithm with Interference and
Sparse Long-Range Connectivity | [
"cs.IT",
"math.IT"
] | We analyze the effect of interference on the convergence rate of average consensus algorithms, which iteratively compute the measurement average by message passing among nodes. It is usually assumed that these algorithms converge faster with a greater exchange of information (i.e., by increased network connectivity) in... | {
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1011.5480 | Bayesian Modeling of a Human MMORPG Player | [
"cs.AI"
] | This paper describes an application of Bayesian programming to the control of an autonomous avatar in a multiplayer role-playing game (the example is based on World of Warcraft). We model a particular task, which consists of choosing what to do and to select which target in a situation where allies and foes are present... | {
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1011.5481 | Using Evolution Strategy with Meta-models for Well Placement
Optimization | [
"cs.CE"
] | Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in well productivity, well placement decision is an important issue in field development. Considering complex reservoir geology and high reservoir... | {
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1011.5496 | On Network Functional Compression | [
"cs.IT",
"math.IT"
] | In this paper, we consider different aspects of the network functional compression problem where computation of a function (or, some functions) of sources located at certain nodes in a network is desired at receiver(s). The rate region of this problem has been considered in the literature under certain restrictive assu... | {
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1011.5535 | Examples of minimal-memory, non-catastrophic quantum convolutional
encoders | [
"quant-ph",
"cs.IT",
"math.IT"
] | One of the most important open questions in the theory of quantum convolutional coding is to determine a minimal-memory, non-catastrophic, polynomial-depth convolutional encoder for an arbitrary quantum convolutional code. Here, we present a technique that finds quantum convolutional encoders with such desirable proper... | {
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1011.5566 | Secure Index Coding with Side Information | [
"cs.IT",
"cs.CR",
"cs.NI",
"math.IT"
] | Security aspects of the Index Coding with Side Information (ICSI) problem are investigated. Building on the results of Bar-Yossef et al. (2006), the properties of linear coding schemes for the ICSI problem are further explored. The notion of weak security, considered by Bhattad and Narayanan (2005) in the context of ne... | {
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1011.5599 | HyperANF: Approximating the Neighbourhood Function of Very Large Graphs
on a Budget | [
"cs.DS",
"cs.SI",
"physics.soc-ph"
] | The neighbourhood function N(t) of a graph G gives, for each t, the number of pairs of nodes <x, y> such that y is reachable from x in less that t hops. The neighbourhood function provides a wealth of information about the graph (e.g., it easily allows one to compute its diameter), but it is very expensive to compute i... | {
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1011.5606 | Stability of a Stochastic Model for Demand-Response | [
"cs.SY",
"math.OC"
] | We study the stability of a Markovian model of electricity production and consumption that incorporates production volatility due to renewables and uncertainty about actual demand versus planned production. We assume that the energy producer targets a fixed energy reserve, subject to ramp-up and ramp-down constraints, ... | {
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1011.5668 | On Theorem 2.3 in "Prediction, Learning, and Games" by Cesa-Bianchi and
Lugosi | [
"cs.LG"
] | The note presents a modified proof of a loss bound for the exponentially weighted average forecaster with time-varying potential. The regret term of the algorithm is upper-bounded by sqrt{n ln(N)} (uniformly in n), where N is the number of experts and n is the number of steps. | {
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1011.5694 | Formulation Of A N-Degree Polynomial For Depth Estimation using a Single
Image | [
"cs.CV",
"math-ph",
"math.MP",
"physics.comp-ph",
"physics.ed-ph",
"physics.pop-ph"
] | The depth of a visible surface of a scene is the distance between the surface and the sensor. Recovering depth information from two-dimensional images of a scene is an important task in computer vision that can assist numerous applications such as object recognition, scene interpretation, obstacle avoidance, inspection... | {
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1011.5696 | Quantifying and qualifying trust: Spectral decomposition of trust
networks | [
"cs.CR",
"cs.IR"
] | In a previous FAST paper, I presented a quantitative model of the process of trust building, and showed that trust is accumulated like wealth: the rich get richer. This explained the pervasive phenomenon of adverse selection of trust certificates, as well as the fragility of trust networks in general. But a simple expl... | {
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1011.5699 | The Necessity of Relay Selection | [
"cs.IT",
"math.IT"
] | We determine necessary conditions on the structure of symbol error rate (SER) optimal quantizers for limited feedback beamforming in wireless networks with one transmitter-receiver pair and R parallel amplify-and-forward relays. We call a quantizer codebook "small" if its cardinality is less than R, and "large" otherwi... | {
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1011.5739 | Protocol Coding through Reordering of User Resources: Applications and
Capacity Results | [
"cs.IT",
"cs.NI",
"math.IT"
] | While there are continuous efforts to introduce new communication systems and standards, it is legitimate to ask the question: how can one send additional bits by minimally changing the systems that are already operating? This is of a significant practical interest, since it has a potential to generate additional value... | {
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1011.5814 | Quantum Cyclic Code of length dividing $p^{t}+1$ | [
"cs.IT",
"math.IT"
] | In this paper, we study cyclic stabiliser codes over $\mathbb{F}_p$ of length dividing $p^t+1$ for some positive integer $t$. We call these $t$-Frobenius codes or just Frobenius codes for short. We give methods to construct them and show that they have efficient decoding algorithms. An important subclass of stabiliser ... | {
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1011.5866 | Evolving difficult SAT instances thanks to local search | [
"cs.NE",
"cs.LO"
] | We propose to use local search algorithms to produce SAT instances which are harder to solve than randomly generated k-CNF formulae. The first results, obtained with rudimentary search algorithms, show that the approach deserves further study. It could be used as a test of robustness for SAT solvers, and could help to ... | {
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1011.5914 | Static and Expanding Grid Coverage with Ant Robots : Complexity Results | [
"cs.MA"
] | In this paper we study the strengths and limitations of collaborative teams of simple agents. In particular, we discuss the efficient use of "ant robots" for covering a connected region on the Z^{2} grid, whose area is unknown in advance, and which expands at a given rate, where $n$ is the initial size of the connected... | {
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1011.5936 | On the Performance of Sparse Recovery via L_p-minimization (0<=p <=1) | [
"cs.IT",
"math.IT"
] | It is known that a high-dimensional sparse vector x* in R^n can be recovered from low-dimensional measurements y= A^{m*n} x* (m<n) . In this paper, we investigate the recovering ability of l_p-minimization (0<=p<=1) as p varies, where l_p-minimization returns a vector with the least l_p ``norm'' among all the vectors x... | {
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1011.5950 | Networks and the Epidemiology of Infectious Disease | [
"physics.soc-ph",
"cs.SI",
"q-bio.PE"
] | The science of networks has revolutionised research into the dynamics of interacting elements. It could be argued that epidemiology in particular has embraced the potential of network theory more than any other discipline. Here we review the growing body of research concerning the spread of infectious diseases on netwo... | {
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1011.5951 | Reinforcement Learning in Partially Observable Markov Decision Processes
using Hybrid Probabilistic Logic Programs | [
"cs.AI"
] | We present a probabilistic logic programming framework to reinforcement learning, by integrating reinforce-ment learning, in POMDP environments, with normal hybrid probabilistic logic programs with probabilistic answer set seman-tics, that is capable of representing domain-specific knowledge. We formally prove the corr... | {
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1011.5962 | Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces | [
"cs.CV"
] | The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is cast as an optimization task in a RKHS, by taking advantage of the celebrated semiparametric Representer Theorem. Examples verify that in the p... | {
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1011.5987 | Prediction-based Adaptation (PRADA) Algorithm for Modulation and Coding | [
"cs.IT",
"math.IT"
] | In this paper, we propose a novel adaptive modulation and coding (AMC) algorithm dedicated to reduce the feedback frequency of the channel state information (CSI). There have been already plenty of works on AMC so as to exploit the bandwidth more efficiently with the CSI feedback to the transmitter. However, in some oc... | {
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1011.6017 | A Selection Region Based Routing Protocol for Random Mobile ad hoc
Networks with Directional Antennas | [
"cs.IT",
"math.IT"
] | In this paper, we propose a selection region based multihop routing protocol with directional antennas for wireless mobile ad hoc networks, where the selection region is defined by two parameters: a reference distance and the beamwidth of the directional antenna. At each hop, we choose the nearest node to the transmitt... | {
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1011.6022 | DXNN Platform: The Shedding of Biological Inefficiencies | [
"cs.NE"
] | This paper introduces a novel type of memetic algorithm based Topology and Weight Evolving Artificial Neural Network (TWEANN) system called DX Neural Network (DXNN). DXNN implements a number of interesting features, amongst which is: a simple and database friendly tuple based encoding method, a 2 phase neuroevolutionar... | {
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1011.6075 | Distributed High Accuracy Peer-to-Peer Localization in Mobile Multipath
Environments | [
"cs.IT",
"cs.DC",
"cs.NI",
"math.IT",
"math.OC"
] | In this paper we consider the problem of high accuracy localization of mobile nodes in a multipath-rich environment where sub-meter accuracies are required. We employ a peer to peer framework where the vehicles/nodes can get pairwise multipath-degraded ranging estimates in local neighborhoods together with a fixed numb... | {
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1011.6086 | In All Likelihood, Deep Belief Is Not Enough | [
"stat.ML",
"cs.LG"
] | Statistical models of natural stimuli provide an important tool for researchers in the fields of machine learning and computational neuroscience. A canonical way to quantitatively assess and compare the performance of statistical models is given by the likelihood. One class of statistical models which has recently gain... | {
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1011.6121 | On Beamformer Design for Multiuser MIMO Interference Channels | [
"cs.IT",
"math.IT"
] | This paper considers several linear beamformer design paradigms for multiuser time-invariant multiple-input multiple-output interference channels. Notably, interference alignment and sum-rate based algorithms such as the maximum signal-to-interference-plus noise (max-SINR) algorithm are considered. Optimal linear beamf... | {
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1011.6127 | Visibility maintenance via controlled invariance for leader-follower
Dubins-like vehicles | [
"cs.MA"
] | The paper studies the visibility maintenance problem (VMP) for a leader-follower pair of Dubins-like vehicles with input constraints, and proposes an original solution based on the notion of controlled invariance. The nonlinear model describing the relative dynamics of the vehicles is interpreted as linear uncertain sy... | {
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1011.6218 | Coordinated Transmissions to Direct and Relayed Users in Wireless
Cellular Systems | [
"cs.IT",
"cs.NI",
"math.IT"
] | The ideas of wireless network coding at the physical layer promise high throughput gains in wireless systems with relays and multi-way traffic flows. This gain can be ascribed to two principles: (1) joint transmission of multiple communication flows and (2) usage of \emph{a priori} information to cancel the interferenc... | {
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1011.6220 | Multimodal Biometric Systems - Study to Improve Accuracy and Performance | [
"cs.AI"
] | Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Experimental studies show that Unimodal biometric systems had many disadvantages regarding performance a... | {
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1011.6224 | Classifying extremely imbalanced data sets | [
"physics.data-an",
"cs.LG",
"hep-ex",
"stat.ML"
] | Imbalanced data sets containing much more background than signal instances are very common in particle physics, and will also be characteristic for the upcoming analyses of LHC data. Following up the work presented at ACAT 2008, we use the multivariate technique presented there (a rule growing algorithm with the meta-m... | {
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1011.6242 | A Construction of Weakly and Non-Weakly Regular Bent Functions | [
"math.CO",
"cs.IT",
"math.IT"
] | In this article a technique for constructing $p$-ary bent functions from near-bent functions is presented. Two classes of quadratic $p$-ary functions are shown to be near-bent. Applying the construction of bent functions to these classes of near-bent functions yields classes of non-quadratic bent functions. We show tha... | {
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1011.6266 | Characterizing the speed and paths of shared bicycles in Lyon | [
"cs.SI"
] | Thanks to numerical data gathered by Lyon's shared bicycling system V\'elo'v, we are able to analyze 11.6 millions bicycle trips, leading to the first robust characterization of urban bikers' behaviors. We show that bicycles outstrip cars in downtown Lyon, by combining high speed and short paths.These data also allows ... | {
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1011.6268 | Quantitative Analysis of Bloggers Collective Behavior Powered by
Emotions | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI"
] | Large-scale data resulting from users online interactions provide the ultimate source of information to study emergent social phenomena on the Web. From individual actions of users to observable collective behaviors, different mechanisms involving emotions expressed in the posted text play a role. Here we combine appro... | {
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1011.6293 | Nonparametric Bayesian sparse factor models with application to gene
expression modeling | [
"stat.AP",
"cs.AI",
"stat.ML"
] | A nonparametric Bayesian extension of Factor Analysis (FA) is proposed where observed data $\mathbf{Y}$ is modeled as a linear superposition, $\mathbf{G}$, of a potentially infinite number of hidden factors, $\mathbf{X}$. The Indian Buffet Process (IBP) is used as a prior on $\mathbf{G}$ to incorporate sparsity and to ... | {
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1011.6326 | New Null Space Results and Recovery Thresholds for Matrix Rank
Minimization | [
"math.OC",
"cs.IT",
"math.IT",
"stat.ML"
] | Nuclear norm minimization (NNM) has recently gained significant attention for its use in rank minimization problems. Similar to compressed sensing, using null space characterizations, recovery thresholds for NNM have been studied in \cite{arxiv,Recht_Xu_Hassibi}. However simulations show that the thresholds are far fro... | {
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1011.6441 | LP Decodable Permutation Codes based on Linearly Constrained Permutation
Matrices | [
"cs.IT",
"math.CO",
"math.IT",
"math.RT"
] | A set of linearly constrained permutation matrices are proposed for constructing a class of permutation codes. Making use of linear constraints imposed on the permutation matrices, we can formulate a minimum Euclidian distance decoding problem for the proposed class of permutation codes as a linear programming (LP) pro... | {
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1011.6495 | The Minimum-Rank Gram Matrix Completion via Modified Fixed Point
Continuation Method | [
"math.OC",
"cs.NA",
"cs.SY"
] | The problem of computing a representation for a real polynomial as a sum of minimum number of squares of polynomials can be casted as finding a symmetric positive semidefinite real matrix (Gram matrix) of minimum rank subject to linear equality constraints. In this paper, we propose algorithms for solving the minimum... | {
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1011.6639 | Multiple Access Channels with States Causally Known at Transmitters | [
"cs.IT",
"math.IT"
] | It has been recently shown by Lapidoth and Steinberg that strictly causal state information can be beneficial in multiple access channels (MACs). Specifically, it was proved that the capacity region of a two-user MAC with independent states, each known strictly causally to one encoder, can be enlarged by letting the en... | {
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1011.6644 | Interference Alignment via Improved Subspace Conditioning | [
"cs.IT",
"math.IT"
] | For the K user, single input single output (SISO), frequency selective interference channel, a new low complexity transmit beamforming design that improves the achievable sum rate is presented. Jointly employing the interference alignment (IA) scheme presented by Cadambe and Jafar in [1] and linear minimum mean square ... | {
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1011.6656 | Learning sparse representations of depth | [
"cs.CV"
] | This paper introduces a new method for learning and inferring sparse representations of depth (disparity) maps. The proposed algorithm relaxes the usual assumption of the stationary noise model in sparse coding. This enables learning from data corrupted with spatially varying noise or uncertainty, typically obtained by... | {
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1011.6664 | Learning restricted Bayesian network structures | [
"math.OC",
"cs.DS",
"cs.IT",
"math.IT"
] | Bayesian networks are basic graphical models, used widely both in statistics and artificial intelligence. These statistical models of conditional independence structure are described by acyclic directed graphs whose nodes correspond to (random) variables in consideration. A quite important topic is the learning of Baye... | {
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1012.0009 | Time-Varying Graphs and Dynamic Networks | [
"cs.DC",
"cs.NI",
"cs.SI",
"physics.soc-ph"
] | The past few years have seen intensive research efforts carried out in some apparently unrelated areas of dynamic systems -- delay-tolerant networks, opportunistic-mobility networks, social networks -- obtaining closely related insights. Indeed, the concepts discovered in these investigations can be viewed as parts of ... | {
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1012.0011 | Secure Wireless Communication and Optimal Power Control under
Statistical Queueing Constraints | [
"cs.IT",
"math.IT"
] | In this paper, secure transmission of information over fading broadcast channels is studied in the presence of statistical queueing constraints. Effective capacity is employed as a performance metric to identify the secure throughput of the system, i.e., effective secure throughput. It is assumed that perfect channel s... | {
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1012.0018 | n-Channel Asymmetric Entropy-Constrained Multiple-Description Lattice
Vector Quantization | [
"cs.IT",
"math.IT"
] | This paper is about the design and analysis of an index-assignment (IA) based multiple-description coding scheme for the n-channel asymmetric case. We use entropy constrained lattice vector quantization and restrict attention to simple reconstruction functions, which are given by the inverse IA function when all descri... | {
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1012.0065 | Counting in Graph Covers: A Combinatorial Characterization of the Bethe
Entropy Function | [
"cs.IT",
"cond-mat.stat-mech",
"cs.AI",
"math.CO",
"math.IT"
] | We present a combinatorial characterization of the Bethe entropy function of a factor graph, such a characterization being in contrast to the original, analytical, definition of this function. We achieve this combinatorial characterization by counting valid configurations in finite graph covers of the factor graph. Ana... | {
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1012.0081 | Molecular communication in fluid media: The additive inverse Gaussian
noise channel | [
"cs.IT",
"math.IT"
] | We consider molecular communication, with information conveyed in the time of release of molecules. The main contribution of this paper is the development of a theoretical foundation for such a communication system. Specifically, we develop the additive inverse Gaussian (IG) noise channel model: a channel in which the ... | {
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1012.0084 | Survey on Various Gesture Recognition Techniques for Interfacing
Machines Based on Ambient Intelligence | [
"cs.AI",
"cs.CV",
"cs.HC",
"cs.RO"
] | Gesture recognition is mainly apprehensive on analyzing the functionality of human wits. The main goal of gesture recognition is to create a system which can recognize specific human gestures and use them to convey information or for device control. Hand gestures provide a separate complementary modality to speech for ... | {
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1012.0112 | Multiple-access Network Information-flow and Correction Codes | [
"cs.IT",
"math.IT"
] | This work considers the multiple-access multicast error-correction scenario over a packetized network with $z$ malicious edge adversaries. The network has min-cut $m$ and packets of length $\ell$, and each sink demands all information from the set of sources $\sources$. The capacity region is characterized for both a "... | {
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} |
1012.0142 | Universal patterns in sound amplitudes of songs and music genres | [
"physics.data-an",
"cs.IR",
"cs.SD"
] | We report a statistical analysis over more than eight thousand songs. Specifically, we investigate the probability distribution of the normalized sound amplitudes. Our findings seems to suggest a universal form of distribution which presents a good agreement with a one-parameter stretched Gaussian. We also argue that t... | {
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} |
1012.0178 | From Social Data Mining to Forecasting Socio-Economic Crisis | [
"cs.CY",
"cs.DB",
"cs.DC"
] | Socio-economic data mining has a great potential in terms of gaining a better understanding of problems that our economy and society are facing, such as financial instability, shortages of resources, or conflicts. Without large-scale data mining, progress in these areas seems hard or impossible. Therefore, a suitable, ... | {
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} |
1012.0196 | Coarse Graining for Synchronization in Directed Networks | [
"physics.soc-ph",
"cond-mat.dis-nn",
"cs.SI"
] | Coarse graining model is a promising way to analyze and visualize large-scale networks. The coarse-grained networks are required to preserve the same statistical properties as well as the dynamic behaviors as the initial networks. Some methods have been proposed and found effective in undirected networks, while the stu... | {
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} |
1012.0197 | Low-Rank Matrix Approximation with Weights or Missing Data is NP-hard | [
"math.OC",
"cs.SY",
"math.NA"
] | Weighted low-rank approximation (WLRA), a dimensionality reduction technique for data analysis, has been successfully used in several applications, such as in collaborative filtering to design recommender systems or in computer vision to recover structure from motion. In this paper, we study the computational complexit... | {
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} |
1012.0201 | Generation of degree-correlated networks using copulas | [
"physics.data-an",
"cs.SI",
"math-ph",
"math.MP",
"physics.soc-ph"
] | Dynamical processes on complex networks such as information propagation, innovation diffusion, cascading failures or epidemic spreading are highly affected by their underlying topologies as characterized by, for instance, degree-degree correlations. Here, we introduce the concept of copulas in order to artificially gen... | {
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1012.0203 | Enhancing synchronization by directionality in complex networks | [
"cond-mat.dis-nn",
"cond-mat.stat-mech",
"cs.SI",
"physics.soc-ph"
] | We proposed a method called residual edge-betweenness gradient (REBG) to enhance synchronizability of networks by assignment of link direction while keeping network topology and link weight unchanged. Direction assignment has been shown to improve the synchronizability of undirected networks in general, but we find tha... | {
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1012.0206 | Catastrophic Cascade of Failures in Interdependent Networks | [
"physics.data-an",
"cond-mat.stat-mech",
"cs.SI",
"physics.comp-ph",
"physics.soc-ph"
] | Modern network-like systems are usually coupled in such a way that failures in one network can affect the entire system. In infrastructures, biology, sociology, and economy, systems are interconnected and events taking place in one system can propagate to any other coupled system. Recent studies on such coupled systems... | {
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1012.0223 | An Effective Method of Image Retrieval using Image Mining Techniques | [
"cs.CV",
"cs.MM"
] | The present research scholars are having keen interest in doing their research activities in the area of Data mining all over the world. Especially, [13]Mining Image data is the one of the essential features in this present scenario since image data plays vital role in every aspect of the system such as business for ma... | {
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} |
1012.0260 | Modeling and Analysis of Time-Varying Graphs | [
"cs.NI",
"cs.DM",
"cs.SI",
"physics.soc-ph"
] | We live in a world increasingly dominated by networks -- communications, social, information, biological etc. A central attribute of many of these networks is that they are dynamic, that is, they exhibit structural changes over time. While the practice of dynamic networks has proliferated, we lag behind in the fundamen... | {
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} |
1012.0322 | A Bayesian Methodology for Estimating Uncertainty of Decisions in
Safety-Critical Systems | [
"cs.AI"
] | Uncertainty of decisions in safety-critical engineering applications can be estimated on the basis of the Bayesian Markov Chain Monte Carlo (MCMC) technique of averaging over decision models. The use of decision tree (DT) models assists experts to interpret causal relations and find factors of the uncertainty. Bayesian... | {
"Other": 0,
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"cs.SD": 0,
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"cs.SY": 0
} |
1012.0335 | Faster Query Answering in Probabilistic Databases using Read-Once
Functions | [
"cs.DB"
] | A boolean expression is in read-once form if each of its variables appears exactly once. When the variables denote independent events in a probability space, the probability of the event denoted by the whole expression in read-once form can be computed in polynomial time (whereas the general problem for arbitrary expre... | {
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"cs.SY": 0
} |
1012.0356 | The Past and the Future in the Present | [
"nlin.CD",
"cs.IT",
"math.DS",
"math.IT",
"math.ST",
"stat.TH"
] | We show how the shared information between the past and future---the excess entropy---derives from the components of directional information stored in the present---the predictive and retrodictive causal states. A detailed proof allows us to highlight a number of the subtle problems in estimation and analysis that impe... | {
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} |
1012.0365 | A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm
Minimization Algorithms | [
"cs.NA",
"cs.AI",
"math.OC"
] | Recent years have witnessed the popularity of using rank minimization as a regularizer for various signal processing and machine learning problems. As rank minimization problems are often converted to nuclear norm minimization (NNM) problems, they have to be solved iteratively and each iteration requires computing a si... | {
"Other": 1,
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} |
1012.0366 | Optimal measures and Markov transition kernels | [
"math.OC",
"cs.CC",
"cs.IT",
"math-ph",
"math.FA",
"math.IT",
"math.MP",
"stat.ML"
] | We study optimal solutions to an abstract optimization problem for measures, which is a generalization of classical variational problems in information theory and statistical physics. In the classical problems, information and relative entropy are defined using the Kullback-Leibler divergence, and for this reason optim... | {
"Other": 1,
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"cs.SD": 0,
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} |
1012.0367 | Universal polar coding and sparse recovery | [
"cs.IT",
"math.IT"
] | This paper investigates universal polar coding schemes. In particular, a notion of ordering (called convolutional path) is introduced between probability distributions to determine when a polar compression (or communication) scheme designed for one distribution can also succeed for another one. The original polar decod... | {
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} |
1012.0375 | Dynamic Resource Coordination and Interference Management for Femtocell
Networks | [
"cs.IT",
"math.IT"
] | Femtocell is emerging as a key technology to secure the coverage and capacity in indoor environments. However the deployment of a new femtocell layer may originate undesired interference to the whole system. This paper investigates spectrum resource coordination and interference management for the femtocell networks. A... | {
"Other": 0,
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"cs.NE": 0,
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"cs.SD": 0,
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"cs.SY": 0
} |
1012.0384 | Adaptive Sensing and Transmission Durations for Cognitive Radios | [
"math.OC",
"cs.IT",
"math-ph",
"math.IT",
"math.MP"
] | In a cognitive radio setting, secondary users opportunistically access the spectrum allocated to primary users. Finding the optimal sensing and transmission durations for the secondary users becomes crucial in order to maximize the secondary throughput while protecting the primary users from interference and service di... | {
"Other": 0,
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} |
1012.0392 | Supporting Information for the Paper: Optimal Ternary
Constant-Composition Codes of Weight Four and Distance Five, IEEE Trans.
Inform. Theory, To Appear | [
"cs.IT",
"math.CO",
"math.IT"
] | Supporting Information for the Paper: Optimal Ternary Constant-Composition Codes of Weight Four and Distance Five, IEEE Trans. Inform. Theory, To Appear. | {
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} |
1012.0412 | Entropy power inequality for a family of discrete random variables | [
"cs.IT",
"math.IT"
] | It is known that the Entropy Power Inequality (EPI) always holds if the random variables have density. Not much work has been done to identify discrete distributions for which the inequality holds with the differential entropy replaced by the discrete entropy. Harremo\"{e}s and Vignat showed that it holds for the pair ... | {
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} |
1012.0416 | Compress-and-Forward Scheme for Relay Networks: Backword Decoding and
Connection to Bisubmodular Flows | [
"cs.IT",
"math.IT"
] | In this paper, a compress-and-forward scheme with backward decoding is presented for the unicast wireless relay network. The encoding at the source and relay is a generalization of the noisy network coding scheme (NNC). While it achieves the same reliable data rate as noisy network coding scheme, the backward decoding ... | {
"Other": 0,
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} |
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