id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
1104.4657 | Business Mode Selection in Digital Content Markets | [
"cs.SI"
] | In this paper, we consider a two-sided digital content market, and study which of the two business modes, i.e., Business-to-Customer (B2C) and Customer-to-Customer (C2C), should be selected and when it should be selected. The considered market is managed by an intermediary, through which content producers can sell thei... | {
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1104.4664 | Temporal Second Difference Traces | [
"cs.LG"
] | Q-learning is a reliable but inefficient off-policy temporal-difference method, backing up reward only one step at a time. Replacing traces, using a recency heuristic, are more efficient but less reliable. In this work, we introduce model-free, off-policy temporal difference methods that make better use of experience t... | {
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1104.4668 | MGA trajectory planning with an ACO-inspired algorithm | [
"cs.CE",
"cs.NE",
"cs.SY",
"math.OC"
] | Given a set of celestial bodies, the problem of finding an optimal sequence of swing-bys, deep space manoeuvres (DSM) and transfer arcs connecting the elements of the set is combinatorial in nature. The number of possible paths grows exponentially with the number of celestial bodies. Therefore, the design of an optimal... | {
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1104.4670 | Optimal impact strategies for asteroid deflection | [
"math.OC",
"cs.NE",
"cs.SY"
] | This paper presents an analysis of optimal impact strategies to deflect potentially dangerous asteroids. To compute the increase in the minimum orbit intersection distance of the asteroid due to an impact with a spacecraft, simple analytical formulas are derived from proximal motion equations. The proposed analytical f... | {
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1104.4674 | K-Median Clustering, Model-Based Compressive Sensing, and Sparse
Recovery for Earth Mover Distance | [
"cs.DS",
"cs.IT",
"math.IT"
] | We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m x n matrices A such that for any x, given Ax, we can recover a k-sparse approximation to x under the EMD distance. One construction yields m = O(k log(n/k)) and a 1 + epsilon approximati... | {
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1104.4681 | Performance Evaluation of Statistical Approaches for Text Independent
Speaker Recognition Using Source Feature | [
"cs.CL"
] | This paper introduces the performance evaluation of statistical approaches for TextIndependent speaker recognition system using source feature. Linear prediction LP residual is used as a representation of excitation information in speech. The speaker-specific information in the excitation of voiced speech is captured u... | {
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1104.4696 | Opinion dynamics model with domain size dependent dynamics: novel
features and new universality class | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI"
] | A model for opinion dynamics (Model I) has been recently introduced in which the binary opinions of the individuals are determined according to the size of their neighboring domains (population having the same opinion). The coarsening dynamics of the equivalent Ising model shows power law behavior and has been found to... | {
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1104.4702 | Sum Rate Maximized Resource Allocation in Multiple DF Relays Aided OFDM
Transmission | [
"cs.IT",
"cs.SY",
"math.IT",
"math.OC"
] | In relay-aided wireless transmission systems, one of the key issues is how to decide assisting relays and manage the energy resource at the source and each individual relay, to maximize a certain objective related to system performance. This paper addresses the sum rate maximized resource allocation (RA) problem in a p... | {
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1104.4704 | Positive Semidefinite Metric Learning Using Boosting-like Algorithms | [
"cs.CV"
] | The success of many machine learning and pattern recognition methods relies heavily upon the identification of an appropriate distance metric on the input data. It is often beneficial to learn such a metric from the input training data, instead of using a default one such as the Euclidean distance. In this work, we pro... | {
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1104.4711 | Internal stabilization of the Oseen-Stokes equations by Stratonovich
noise | [
"math.OC",
"cs.SY"
] | One designs an internal Stratonovich noise feedback controller which exponentially stabilizes the staedy state solutions to Oseen-Stokes equations. | {
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1104.4720 | TripNet: A Method for Constructing Phylogenetic Networks from Triplets | [
"cs.CE",
"q-bio.PE",
"q-bio.QM"
] | We present TripNet, a method for constructing phylogenetic networks from triplets. We will present the motivations behind our approach and its theoretical and empirical justification. To demonstrate the accuracy and efficiency of TripNet, we performed two simulations and also applied the method to five published data s... | {
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1104.4723 | Bayesian approach for near-duplicate image detection | [
"cs.CV",
"cs.IR"
] | In this paper we propose a bayesian approach for near-duplicate image detection, and investigate how different probabilistic models affect the performance obtained. The task of identifying an image whose metadata are missing is often demanded for a myriad of applications: metadata retrieval in cultural institutions, de... | {
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1104.4725 | Mean-Field Backward Stochastic Volterra Integral Equations | [
"math.PR",
"cs.SY",
"math.OC"
] | Mean-field backward stochastic Volterra integral equations (MF-BSVIEs, for short) are introduced and studied. Well-posedness of MF-BSVIEs in the sense of introduced adapted M-solutions is established. Two duality principles between linear mean-field (forward) stochastic Volterra integral equations (MF-FSVIEs, for short... | {
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1104.4731 | An inflationary differential evolution algorithm for space trajectory
optimization | [
"cs.CE",
"cs.NA",
"cs.NE",
"cs.SY",
"math.OC",
"nlin.CD"
] | In this paper we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of Differential Evolution is derived. It is then demonstrated that, under some assumptions on the differential mutation strategy and on the local structure of the objective func... | {
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1104.4803 | Clustering Partially Observed Graphs via Convex Optimization | [
"cs.LG",
"stat.ML"
] | This paper considers the problem of clustering a partially observed unweighted graph---i.e., one where for some node pairs we know there is an edge between them, for some others we know there is no edge, and for the remaining we do not know whether or not there is an edge. We want to organize the nodes into disjoint cl... | {
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1104.4805 | Capacity of All Nine Models of Channel Output Feedback for the Two-user
Interference Channel | [
"cs.IT",
"math.IT"
] | In this paper, we study the impact of different channel output feedback architectures on the capacity of the two-user interference channel. For a two-user interference channel, a feedback link can exist between receivers and transmitters in 9 canonical architectures (see Fig. 2), ranging from only one feedback link to ... | {
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1104.4824 | Fast global convergence of gradient methods for high-dimensional
statistical recovery | [
"stat.ML",
"cs.IT",
"math.IT"
] | Many statistical $M$-estimators are based on convex optimization problems formed by the combination of a data-dependent loss function with a norm-based regularizer. We analyze the convergence rates of projected gradient and composite gradient methods for solving such problems, working within a high-dimensional framewor... | {
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1104.4842 | The Pros and Cons of Compressive Sensing for Wideband Signal
Acquisition: Noise Folding vs. Dynamic Range | [
"cs.IT",
"math.IT"
] | Compressive sensing (CS) exploits the sparsity present in many signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, in theory, commensurate reductions in the size, weight, power consumption, and/or monetary cost of both signal sensors and any associated communicat... | {
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1104.4887 | Coupled Ising models and interdependent discrete choices under social
influence in homogeneous populations | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI"
] | The use of statistical physics to study problems of social sciences is motivated and its current state of the art briefly reviewed, in particular for the case of discrete choice making. The coupling of two binary choices is studied in some detail, using an Ising model for each of the decision variables (the opinion or ... | {
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1104.4899 | Data Base Mappings and Theory of Sketches | [
"cs.DB"
] | In this paper we will present the two basic operations for database schemas used in database mapping systems (separation and Data Federation), and we will explain why the functorial semantics for database mappings needed a new base category instead of usual Set category. Successively, it is presented a definition of th... | {
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1104.4905 | Inner approximations for polynomial matrix inequalities and robust
stability regions | [
"math.OC",
"cs.SY"
] | Following a polynomial approach, many robust fixed-order controller design problems can be formulated as optimization problems whose set of feasible solutions is modelled by parametrized polynomial matrix inequalities (PMI). These feasibility sets are typically nonconvex. Given a parametrized PMI set, we provide a hier... | {
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1104.4910 | Hybrid Tractable Classes of Binary Quantified Constraint Satisfaction
Problems | [
"cs.AI"
] | In this paper, we investigate the hybrid tractability of binary Quantified Constraint Satisfaction Problems (QCSPs). First, a basic tractable class of binary QCSPs is identified by using the broken-triangle property. In this class, the variable ordering for the broken-triangle property must be same as that in the prefi... | {
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1104.4911 | Asymptotic Moments for Interference Mitigation in Correlated Fading
Channels | [
"cs.IT",
"math.IT"
] | We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically tight deterministic approximations of their moments. This random matrix model arises in several wireless communication systems of recent interest, such... | {
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1104.4927 | Serial Concatenation of RS Codes with Kite Codes: Performance Analysis,
Iterative Decoding and Design | [
"cs.IT",
"cs.PF",
"math.IT"
] | In this paper, we propose a new ensemble of rateless forward error correction (FEC) codes. The proposed codes are serially concatenated codes with Reed-Solomon (RS) codes as outer codes and Kite codes as inner codes. The inner Kite codes are a special class of prefix rateless low-density parity-check (PRLDPC) codes, wh... | {
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1104.4950 | A Machine Learning Based Analytical Framework for Semantic Annotation
Requirements | [
"cs.AI",
"cs.CL"
] | The Semantic Web is an extension of the current web in which information is given well-defined meaning. The perspective of Semantic Web is to promote the quality and intelligence of the current web by changing its contents into machine understandable form. Therefore, semantic level information is one of the cornerstone... | {
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1104.4966 | Combining Ontology Development Methodologies and Semantic Web Platforms
for E-government Domain Ontology Development | [
"cs.AI",
"cs.CY"
] | One of the key challenges in electronic government (e-government) is the development of systems that can be easily integrated and interoperated to provide seamless services delivery to citizens. In recent years, Semantic Web technologies based on ontology have emerged as promising solutions to the above engineering pro... | {
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1104.4989 | Preprocessing: A Step in Automating Early Detection of Cervical Cancer | [
"cs.CV"
] | This paper has been withdrawn | {
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1104.4993 | Arc Consistency and Friends | [
"cs.AI",
"cs.CC",
"cs.LO"
] | A natural and established way to restrict the constraint satisfaction problem is to fix the relations that can be used to pose constraints; such a family of relations is called a constraint language. In this article, we study arc consistency, a heavily investigated inference method, and three extensions thereof from th... | {
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1104.5059 | Reducing Commitment to Tasks with Off-Policy Hierarchical Reinforcement
Learning | [
"cs.LG"
] | In experimenting with off-policy temporal difference (TD) methods in hierarchical reinforcement learning (HRL) systems, we have observed unwanted on-policy learning under reproducible conditions. Here we present modifications to several TD methods that prevent unintentional on-policy learning from occurring. These modi... | {
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1104.5061 | On Combining Machine Learning with Decision Making | [
"math.OC",
"cs.LG",
"stat.ML"
] | We present a new application and covering number bound for the framework of "Machine Learning with Operational Costs (MLOC)," which is an exploratory form of decision theory. The MLOC framework incorporates knowledge about how a predictive model will be used for a subsequent task, thus combining machine learning with t... | {
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1104.5069 | Synthesizing Robust Plans under Incomplete Domain Models | [
"cs.AI"
] | Most current planners assume complete domain models and focus on generating correct plans. Unfortunately, domain modeling is a laborious and error-prone task. While domain experts cannot guarantee completeness, often they are able to circumscribe the incompleteness of the model by providing annotations as to which part... | {
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1104.5070 | Online Learning: Stochastic and Constrained Adversaries | [
"stat.ML",
"cs.GT",
"cs.LG"
] | Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and the second scenario is the online learning, completely adversarial scenario where adversary at every time step picks the worst instance to pro... | {
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1104.5071 | Attacking and Defending Covert Channels and Behavioral Models | [
"cs.LG"
] | In this paper we present methods for attacking and defending $k$-gram statistical analysis techniques that are used, for example, in network traffic analysis and covert channel detection. The main new result is our demonstration of how to use a behavior's or process' $k$-order statistics to build a stochastic process t... | {
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1104.5076 | Tight Bounds for Black Hole Search with Scattered Agents in Synchronous
Rings | [
"cs.MA"
] | We study the problem of locating a particularly dangerous node, the so-called black hole in a synchronous anonymous ring network with mobile agents. A black hole is a harmful stationary process residing in a node of the network and destroying destroys all mobile agents visiting that node without leaving any trace. We c... | {
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1104.5117 | Maximum Rate of 3- and 4-Real-Symbol ML Decodable Unitary Weight STBCs | [
"cs.IT",
"math.IT"
] | It has been shown recently that the maximum rate of a 2-real-symbol (single-complex-symbol) maximum likelihood (ML) decodable, square space-time block codes (STBCs) with unitary weight matrices is $\frac{2a}{2^a}$ complex symbols per channel use (cspcu) for $2^a$ number of transmit antennas \cite{KSR}. These STBCs are ... | {
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1104.5139 | Web services synchronization health care application | [
"cs.DB"
] | With the advance of Web Services technologies and the emergence of Web Services into the information space, tremendous opportunities for empowering users and organizations appear in various application domains including electronic commerce, travel, intelligence information gathering and analysis, health care, digital g... | {
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1104.5147 | Fixation and Polarization in a Three-Species Opinion Dynamics Model | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI",
"nlin.AO",
"q-bio.PE"
] | Motivated by the dynamics of cultural change and diversity, we generalize the three-species constrained voter model on a complete graph introduced in [J. Phys. A 37, 8479 (2004)]. In this opinion dynamics model, a population of size N is composed of "leftists" and "rightists" that interact with "centrists": a leftist a... | {
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1104.5150 | File Transfer Application For Sharing Femto Access | [
"cs.NI",
"cs.LG"
] | In wireless access network optimization, today's main challenges reside in traffic offload and in the improvement of both capacity and coverage networks. The operators are interested in solving their localized coverage and capacity problems in areas where the macro network signal is not able to serve the demand for mob... | {
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1104.5170 | A Novel Power Allocation Scheme for Two-User GMAC with Finite Input
Constellations | [
"cs.IT",
"cs.NI",
"math.IT"
] | Constellation Constrained (CC) capacity regions of two-user Gaussian Multiple Access Channels (GMAC) have been recently reported, wherein an appropriate angle of rotation between the constellations of the two users is shown to enlarge the CC capacity region. We refer to such a scheme as the Constellation Rotation (CR) ... | {
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1104.5183 | Direct search methods for an open problem of optimization in systems and
control | [
"math.OC",
"cs.SY"
] | The motivation of this work is to illustrate the efficiency of some often overlooked alternatives to deal with optimization problems in systems and control. In particular, we will consider a problem for which an iterative linear matrix inequality algorithm (ILMI) has been proposed recently. As it often happens, this al... | {
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1104.5186 | Finding Dense Clusters via "Low Rank + Sparse" Decomposition | [
"stat.ML",
"cs.IT",
"math.IT"
] | Finding "densely connected clusters" in a graph is in general an important and well studied problem in the literature \cite{Schaeffer}. It has various applications in pattern recognition, social networking and data mining \cite{Duda,Mishra}. Recently, Ames and Vavasis have suggested a novel method for finding cliques i... | {
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1104.5240 | Robust Monotonic Optimization Framework for Multicell MISO Systems | [
"cs.IT",
"math.IT"
] | The performance of multiuser systems is both difficult to measure fairly and to optimize. Most resource allocation problems are non-convex and NP-hard, even under simplifying assumptions such as perfect channel knowledge, homogeneous channel properties among users, and simple power constraints. We establish a general o... | {
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1104.5246 | How well can we estimate a sparse vector? | [
"cs.IT",
"math.IT",
"math.ST",
"stat.TH"
] | The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on the mean-squared error, which holds regardless of the sensing/design matrix being used and regardless of the estimation procedure. This lower ... | {
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1104.5247 | Identifying communities by influence dynamics in social networks | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI"
] | Communities are not static; they evolve, split and merge, appear and disappear, i.e. they are product of dynamical processes that govern the evolution of the network. A good algorithm for community detection should not only quantify the topology of the network, but incorporate the dynamical processes that take place on... | {
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1104.5256 | Learning Undirected Graphical Models with Structure Penalty | [
"cs.AI",
"cs.LG"
] | In undirected graphical models, learning the graph structure and learning the functions that relate the predictive variables (features) to the responses given the structure are two topics that have been widely investigated in machine learning and statistics. Learning graphical models in two stages will have problems be... | {
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1104.5259 | High Degree Vertices, Eigenvalues and Diameter of Random Apollonian
Networks | [
"cs.SI",
"cs.DM",
"math.CO",
"physics.soc-ph"
] | In this work we analyze basic properties of Random Apollonian Networks \cite{zhang,zhou}, a popular stochastic model which generates planar graphs with power law properties. Specifically, let $k$ be a constant and $\Delta_1 \geq \Delta_2 \geq .. \geq \Delta_k$ be the degrees of the $k$ highest degree vertices. We prove... | {
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1104.5280 | Iterative Reweighted Algorithms for Sparse Signal Recovery with
Temporally Correlated Source Vectors | [
"stat.ML",
"cs.IT",
"math.IT"
] | Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, for solving the problem of multiple measurement vectors (MMVs), all the existing reweighted algorithms do not account for temporal correlation... | {
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1104.5284 | Content-Based Spam Filtering on Video Sharing Social Networks | [
"cs.CV",
"cs.MM"
] | In this work we are concerned with the detection of spam in video sharing social networks. Specifically, we investigate how much visual content-based analysis can aid in detecting spam in videos. This is a very challenging task, because of the high-level semantic concepts involved; of the assorted nature of social netw... | {
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1104.5286 | Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity
Constraints | [
"cs.SY",
"math.OC",
"stat.AP"
] | Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice. In this context, the present paper develops novel fixed-lag and fixed-interval smoothing algorithms that are robust to outliers simultaneously presen... | {
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1104.5288 | Tracking Target Signal Strengths on a Grid using Sparsity | [
"cs.SY",
"math.OC",
"stat.AP"
] | Multi-target tracking is mainly challenged by the nonlinearity present in the measurement equation, and the difficulty in fast and accurate data association. To overcome these challenges, the present paper introduces a grid-based model in which the state captures target signal strengths on a known spatial grid (TSSG). ... | {
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1104.5304 | A supervised clustering approach for fMRI-based inference of brain
states | [
"cs.CV"
] | We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior during a scanning session. Such predictions suffer from the huge number of brain regions sampled on the voxel grid of standard fMRI data sets: the curse of dimensi... | {
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1104.5327 | Xampling in Ultrasound Imaging | [
"cs.IT",
"math.IT",
"physics.med-ph"
] | Recent developments of new medical treatment techniques put challenging demands on ultrasound imaging systems in terms of both image quality and raw data size. Traditional sampling methods result in very large amounts of data, thus, increasing demands on processing hardware and limiting the exibility in the post-proces... | {
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1104.5344 | Predictability of conversation partners | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI"
] | Recent developments in sensing technologies have enabled us to examine the nature of human social behavior in greater detail. By applying an information theoretic method to the spatiotemporal data of cell-phone locations, [C. Song et al. Science 327, 1018 (2010)] found that human mobility patterns are remarkably predic... | {
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1104.5362 | Selected Operations, Algorithms, and Applications of n-Tape Weighted
Finite-State Machines | [
"cs.FL",
"cs.CL"
] | A weighted finite-state machine with n tapes (n-WFSM) defines a rational relation on n strings. It is a generalization of weighted acceptors (one tape) and transducers (two tapes). After recalling some basic definitions about n-ary weighted rational relations and n-WFSMs, we summarize some central operations on these... | {
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1104.5369 | Optimal static output feedback design through direct search | [
"math.OC",
"cs.SY"
] | The aim of this paper and associated presentation is to put forward derivative-free optimization methods for control design. The important element, still ignored at the end of 2011 in systems and control (i.e. this element has apparently never been used so far in the systems and control litterature), is that derivative... | {
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1104.5384 | Chance-constrained Model Predictive Control for Multi-Agent Systems | [
"cs.SY",
"cs.MA",
"math.OC"
] | We consider stochastic model predictive control of a multi-agent systems with constraints on the probabilities of inter-agent collisions. We first study a sample-based approximation of the collision probabilities and use this approximation to formulate constraints for the stochastic control problem. This approximation ... | {
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1104.5391 | On Optimality of Greedy Policy for a Class of Standard Reward Function
of Restless Multi-armed Bandit Problem | [
"cs.LG",
"cs.SY",
"math.OC"
] | In this paper,we consider the restless bandit problem, which is one of the most well-studied generalizations of the celebrated stochastic multi-armed bandit problem in decision theory. However, it is known be PSPACE-Hard to approximate to any non-trivial factor. Thus the optimality is very difficult to obtain due to it... | {
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1104.5415 | A Deterministic Equivalent for the Analysis of Small Cell Networks | [
"cs.IT",
"math.IT"
] | To properly reflect the main purpose of this work, we have changed the paper title to: A Deterministic Equivalent for the Analysis of Non-Gaussian Correlated MIMO Multiple Access Channels | {
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1104.5422 | Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The
Continuous-Time Case | [
"cs.SY",
"cs.DC",
"math.OC"
] | This paper presents a set of continuous-time distributed algorithms that solve unconstrained, separable, convex optimization problems over undirected networks with fixed topologies. The algorithms are developed using a Lyapunov function candidate that exploits convexity, and are called Zero-Gradient-Sum (ZGS) algorithm... | {
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1104.5456 | Interference Alignment at Finite SNR for Time-Invariant Channels | [
"cs.IT",
"math.IT"
] | An achievable rate region, based on lattice interference alignment, is derived for a class of time-invariant Gaussian interference channels with more than two users. The result is established via a new coding theorem for the two-user Gaussian multiple-access channel where both users use a single linear code. The class ... | {
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1104.5466 | Notes on a New Philosophy of Empirical Science | [
"cs.LG",
"math.ST",
"stat.ML",
"stat.TH"
] | This book presents a methodology and philosophy of empirical science based on large scale lossless data compression. In this view a theory is scientific if it can be used to build a data compression program, and it is valuable if it can compress a standard benchmark database to a small size, taking into account the len... | {
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1104.5474 | Coalitions and Cliques in the School Choice Problem | [
"math.OC",
"cs.SI",
"math.CO",
"physics.soc-ph"
] | The school choice mechanism design problem focuses on assignment mechanisms matching students to public schools in a given school district. The well-known Gale Shapley Student Optimal Stable Matching Mechanism (SOSM) is the most efficient stable mechanism proposed so far as a solution to this problem. However its ineff... | {
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1104.5510 | Mining Temporal Patterns from iTRAQ Mass Spectrometry(LC-MS/MS) Data | [
"q-bio.QM",
"cs.CE",
"cs.DB",
"cs.DS",
"q-bio.MN"
] | Large-scale proteomic analysis is emerging as a powerful technique in biology and relies heavily on data acquired by state-of-the-art mass spectrometers. As with any other field in Systems Biology, computational tools are required to deal with this ocean of data. iTRAQ (isobaric Tags for Relative and Absolute quantific... | {
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1104.5517 | Dynamic Range Majority Data Structures | [
"cs.DS",
"cs.DB"
] | Given a set $P$ of coloured points on the real line, we study the problem of answering range $\alpha$-majority (or "heavy hitter") queries on $P$. More specifically, for a query range $Q$, we want to return each colour that is assigned to more than an $\alpha$-fraction of the points contained in $Q$. We present a new d... | {
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1104.5532 | Extremal Properties of Complex Networks | [
"q-bio.MN",
"cond-mat.stat-mech",
"cs.SI",
"physics.soc-ph"
] | We describe the structure of connected graphs with the minimum and maximum average distance, radius, diameter, betweenness centrality, efficiency and resistance distance, given their order and size. We find tight bounds on these graph qualities for any arbitrary number of nodes and edges and analytically derive the for... | {
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1104.5534 | QoS Provisioning for Multimedia Transmission in Cognitive Radio Networks | [
"cs.IT",
"math.IT"
] | In cognitive radio (CR) networks, the perceived reduction of application layer quality of service (QoS), such as multimedia distortion, by secondary users may impede the success of CR technologies. Most previous work in CR networks ignores application layer QoS. In this paper we take an integrated design approach to jo... | {
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1104.5538 | Complex Networks | [
"cs.NE",
"cs.SI",
"nlin.AO",
"physics.soc-ph"
] | Introduction to the Special Issue on Complex Networks, Artificial Life journal. | {
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1104.5539 | Distributed Cooperative Spectrum Sensing in Mobile Ad Hoc Networks with
Cognitive Radios | [
"cs.IT",
"math.IT"
] | In cognitive radio mobile ad hoc networks (CR-MANETs), secondary users can cooperatively sense the spectrum to detect the presence of primary users. In this chapter, we propose a fully distributed and scalable cooperative spectrum sensing scheme based on recent advances in consensus algorithms. In the proposed scheme, ... | {
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1104.5546 | Optimal coding for the deletion channel with small deletion probability | [
"cs.IT",
"math.IT"
] | The deletion channel is the simplest point-to-point communication channel that models lack of synchronization. Input bits are deleted independently with probability d, and when they are not deleted, they are not affected by the channel. Despite significant effort, little is known about the capacity of this channel, and... | {
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1104.5553 | Resource Allocation for Selection-Based Cooperative OFDM Networks | [
"cs.IT",
"math.IT"
] | This paper considers resource allocation to achieve max-min fairness in a selection-based orthogonal frequency division multiplexing network wherein source nodes are assisted by fixed decode-and-forward relays. The joint problem of transmission strategy selection, relay assignment, and power allocation is a combinatori... | {
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1104.5566 | Limits of Preprocessing | [
"cs.AI",
"cs.CC"
] | We present a first theoretical analysis of the power of polynomial-time preprocessing for important combinatorial problems from various areas in AI. We consider problems from Constraint Satisfaction, Global Constraints, Satisfiability, Nonmonotonic and Bayesian Reasoning. We show that, subject to a complexity theoretic... | {
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1104.5578 | Seeding for pervasively overlapping communities | [
"physics.soc-ph",
"cs.SI"
] | In some social and biological networks, the majority of nodes belong to multiple communities. It has recently been shown that a number of the algorithms that are designed to detect overlapping communities do not perform well in such highly overlapping settings. Here, we consider one class of these algorithms, those whi... | {
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1104.5601 | Mean-Variance Optimization in Markov Decision Processes | [
"cs.LG",
"cs.AI"
] | We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomized or history-based policies can improve performance. We prove that the complexity of computing a policy that maximizes the mean reward under ... | {
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1104.5603 | Mathematical inequalities for some divergences | [
"cond-mat.stat-mech",
"cs.IT",
"math.CA",
"math.IT"
] | Divergences often play important roles for study in information science so that it is indispensable to investigate their fundamental properties. There is also a mathematical significance of such results. In this paper, we introduce some parametric extended divergences combining Jeffreys divergence and Tsallis entropy d... | {
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1104.5608 | Topology Control and Routing in Mobile Ad Hoc Networks with Cognitive
Radios | [
"cs.IT",
"math.IT"
] | Cognitive radio (CR) technology will have significant impacts on upper layer performance in mobile ad hoc networks (MANETs). In this paper, we study topology control and routing in CR-MANETs. We propose a distributed Prediction-based Cognitive Topology Control (PCTC) scheme to provision cognition capability to routing ... | {
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1104.5616 | Towards joint decoding of binary Tardos fingerprinting codes | [
"cs.IT",
"cs.CR",
"math.IT"
] | The class of joint decoder of probabilistic fingerprinting codes is of utmost importance in theoretical papers to establish the concept of fingerprint capacity. However, no implementation supporting a large user base is known to date. This article presents an iterative decoder which is, as far as we are aware of, the f... | {
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1104.5617 | Learning high-dimensional directed acyclic graphs with latent and
selection variables | [
"stat.ME",
"cs.LG",
"math.ST",
"stat.TH"
] | We consider the problem of learning causal information between random variables in directed acyclic graphs (DAGs) when allowing arbitrarily many latent and selection variables. The FCI (Fast Causal Inference) algorithm has been explicitly designed to infer conditional independence and causal information in such setting... | {
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1104.5687 | Preference elicitation and inverse reinforcement learning | [
"stat.ML",
"cs.LG"
] | We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous work on Bayesian inverse reinforcement learning and allows us to obtain a posterior distribution on the agent's preferences, policy and optio... | {
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1104.5700 | A Sequence of Inequalities among Difference of Symmetric Divergence
Measures | [
"cs.IT",
"math.IT"
] | In this paper we have considered two one parametric generalizations. These two generalizations have in articular the well known measures such as: J-divergence, Jensen-Shannon divergence and Arithmetic-Geometric mean divergence. These three measures are with logarithmic expressions. Also, we have particular cases the me... | {
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1105.0010 | The Synchrosqueezing algorithm for time-varying spectral analysis:
robustness properties and new paleoclimate applications | [
"math.CA",
"cs.CE",
"cs.NA",
"physics.data-an"
] | We analyze the stability properties of the Synchrosqueezing transform, a time-frequency signal analysis method that can identify and extract oscillatory components with time-varying frequency and amplitude. We show that Synchrosqueezing is robust to bounded perturbations of the signal and to Gaussian white noise. These... | {
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1105.0022 | Optimal Power Control for Concurrent Transmissions of Location-aware
Mobile Cognitive Radio Ad Hoc Networks | [
"cs.IT",
"math.IT"
] | In a cognitive radio (CR) network, CR users intend to operate over the same spectrum band licensed to legacy networks. A tradeoff exists between protecting the communications in legacy networks and maximizing the throughput of CR transmissions, especially when CR links are unstable due to the mobility of CR users. Beca... | {
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1105.0031 | Performance Analysis of Spectrum Handoff for Cognitive Radio Ad Hoc
Networks without Common Control Channel under Homogeneous Primary Traffic | [
"cs.IT",
"math.IT"
] | Cognitive radio (CR) technology is regarded as a promising solution to the spectrum scarcity problem. Due to the spectrum varying nature of CR networks, unlicensed users are required to perform spectrum handoffs when licensed users reuse the spectrum. In this paper, we study the performance of the spectrum handoff proc... | {
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1105.0032 | On the Spectrum Handoff for Cognitive Radio Ad Hoc Networks without
Common Control Channel | [
"cs.IT",
"math.IT"
] | Cognitive radio (CR) technology is a promising solution to enhance the spectrum utilization by enabling unlicensed users to exploit the spectrum in an opportunistic manner. Since unlicensed users are temporary visitors to the licensed spectrum, they are required to vacate the spectrum when a licensed user reclaims it. ... | {
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1105.0034 | Full Duplex Wireless Communications for Cognitive Radio Networks | [
"cs.IT",
"math.IT"
] | As a key in cognitive radio networks (CRNs), dynamic spectrum access needs to be carefully designed to minimize the interference and delay to the \emph{primary} (licensed) users. One of the main challenges in dynamic spectrum access is to determine when the \emph{secondary} (unlicensed) users can use the spectrum. In p... | {
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1105.0035 | Base-Station Selections for QoS Provisioning Over Distributed Multi-User
MIMO Links in Wireless Networks | [
"cs.IT",
"math.IT"
] | We propose the QoS-aware BS-selection and the corresponding resource-allocation schemes for downlink multi-user transmissions over the distributed multiple-input-multiple-output (MIMO) links, where multiple location-independent base-stations (BS), controlled by a central server, cooperatively transmit data to multiple ... | {
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1105.0049 | Negative Database for Data Security | [
"cs.DB"
] | Data Security is a major issue in any web-based application. There have been approaches to handle intruders in any system, however, these approaches are not fully trustable; evidently data is not totally protected. Real world databases have information that needs to be securely stored. The approach of generating negati... | {
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1105.0051 | What are the Differences between Bayesian Classifiers and
Mutual-Information Classifiers? | [
"cs.IT",
"math.IT"
] | In this study, both Bayesian classifiers and mutual information classifiers are examined for binary classifications with or without a reject option. The general decision rules in terms of distinctions on error types and reject types are derived for Bayesian classifiers. A formal analysis is conducted to reveal the para... | {
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1105.0060 | Signal Processing in Large Systems: a New Paradigm | [
"cs.IT",
"math.IT"
] | For a long time, detection and parameter estimation methods for signal processing have relied on asymptotic statistics as the number $n$ of observations of a population grows large comparatively to the population size $N$, i.e. $n/N\to \infty$. Modern technological and societal advances now demand the study of sometime... | {
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1105.0074 | SuperNova: Super-peers Based Architecture for Decentralized Online
Social Networks | [
"cs.SI",
"cs.DC",
"physics.soc-ph"
] | Recent years have seen several earnest initiatives from both academic researchers as well as open source communities to implement and deploy decentralized online social networks (DOSNs). The primary motivations for DOSNs are privacy and autonomy from big brotherly service providers. The promise of decentralization is c... | {
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1105.0079 | An Automated Size Recognition Technique for Acetabular Implant in Total
Hip Replacement | [
"cs.CV"
] | Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the i... | {
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} |
1105.0087 | Higher weights of Grassmann codes in terms of properties of Schubert
unions | [
"math.AG",
"cs.IT",
"math.CO",
"math.IT"
] | We describe the higher weights of the Grassmann codes $G(2,m)$ over finite fields ${\mathbb F}_q$ in terms of properties of Schubert unions, and in each case we determine the weight as the minimum of two explicit polynomial expressions in $q$. | {
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} |
1105.0099 | Statistical Delay Control and QoS-Driven Power Allocation Over Two-Hop
Wireless Relay Links | [
"cs.IT",
"math.IT"
] | The time-varying feature of wireless channels usually makes the hard delay bound for data transmissions unrealistic to guarantee. In contrast, the statistically-bounded delay with a small violation probability has been widely used for delay quality-of-service (QoS) characterization and evaluation. While existing resear... | {
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} |
1105.0101 | A Multi-Channel Diversity Based MAC Protocol for Power-Constrained
Cognitive Ad Hoc Networks | [
"cs.IT",
"math.IT"
] | One of the major challenges in the medium access control (MAC) protocol design over cognitive Ad Hoc networks (CAHNs) is how to efficiently utilize multiple opportunistic channels, which vary dynamically and are subject to limited power resources. To overcome this challenge, in this paper we first propose a novel diver... | {
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} |
1105.0116 | Optimal Relay Power Allocation for Amplify-and-Forward Relay Networks
with Non-linear Power Amplifiers | [
"cs.IT",
"math.IT"
] | In this paper, we propose an optimal relay power allocation of an Amplify-and-Forward relay networks with non-linear power amplifiers. Based on Bussgang Linearization Theory, we depict the non-linear amplifying process into a linear system, which lets analyzing system performance easier. To obtain spatial diversity, we... | {
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} |
1105.0119 | Quantum trade-off coding for bosonic communication | [
"quant-ph",
"cs.IT",
"math.IT"
] | The trade-off capacity region of a quantum channel characterizes the optimal net rates at which a sender can communicate classical, quantum, and entangled bits to a receiver by exploiting many independent uses of the channel, along with the help of the same resources. Similarly, one can consider a trade-off capacity re... | {
"Other": 0,
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} |
1105.0121 | Methods of Hierarchical Clustering | [
"cs.IR",
"cs.CV",
"math.ST",
"stat.ML",
"stat.TH"
] | We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models. We review grid-based clustering, focusing on hierarchical density-based approaches. Finally we descr... | {
"Other": 0,
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"cs.SY": 0
} |
1105.0155 | Optimal Decoding Algorithm for Asynchronous Physical-Layer Network
Coding | [
"cs.IT",
"cs.NI",
"math.IT"
] | A key issue in physical-layer network coding (PNC) is how to deal with the asynchrony between signals transmitted by multiple transmitters. That is, symbols transmitted by different transmitters could arrive at the receiver with symbol misalignment as well as relative carrier-phase offset. In this paper, 1) we propose ... | {
"Other": 1,
"cs.AI": 0,
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"cs.CR": 0,
"cs.CV": 0,
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"cs.IT": 1,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1105.0158 | Detecting emergent processes in cellular automata with excess
information | [
"cs.IT",
"math.IT",
"nlin.CG",
"q-bio.NC"
] | Many natural processes occur over characteristic spatial and temporal scales. This paper presents tools for (i) flexibly and scalably coarse-graining cellular automata and (ii) identifying which coarse-grainings express an automaton's dynamics well, and which express its dynamics badly. We apply the tools to investigat... | {
"Other": 0,
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} |
1105.0167 | SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity | [
"stat.ML",
"cs.AI"
] | We propose a general information-theoretic approach called Seraph (SEmi-supervised metRic leArning Paradigm with Hyper-sparsity) for metric learning that does not rely upon the manifold assumption. Given the probability parameterized by a Mahalanobis distance, we maximize the entropy of that probability on labeled data... | {
"Other": 0,
"cs.AI": 1,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1105.0190 | Non-Convex Utility Maximization in Gaussian MISO Broadcast and
Interference Channels | [
"cs.IT",
"math.IT"
] | Utility (e.g., sum-rate) maximization for multiantenna broadcast and interference channels (with one antenna at the receivers) is known to be in general a non-convex problem, if one limits the scope to linear (beamforming) strategies at transmitter and receivers. In this paper, it is shown that, under some standard ass... | {
"Other": 0,
"cs.AI": 0,
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"cs.CR": 0,
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"cs.IT": 1,
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"cs.SI": 0,
"cs.SY": 0
} |
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