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1103.1249
Randomizing world trade. II. A weighted network analysis
[ "physics.soc-ph", "cond-mat.stat-mech", "cs.SI", "physics.data-an", "q-fin.GN" ]
Based on the misleading expectation that weighted network properties always offer a more complete description than purely topological ones, current economic models of the International Trade Network (ITN) generally aim at explaining local weighted properties, not local binary ones. Here we complement our analysis of th...
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1103.1252
Automatic Wrapper Adaptation by Tree Edit Distance Matching
[ "cs.AI", "cs.IR" ]
Information distributed through the Web keeps growing faster day by day, and for this reason, several techniques for extracting Web data have been suggested during last years. Often, extraction tasks are performed through so called wrappers, procedures extracting information from Web pages, e.g. implementing logic-base...
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1103.1254
Design of Automatically Adaptable Web Wrappers
[ "cs.AI", "cs.IR" ]
Nowadays, the huge amount of information distributed through the Web motivates studying techniques to be adopted in order to extract relevant data in an efficient and reliable way. Both academia and enterprises developed several approaches of Web data extraction, for example using techniques of artificial intelligence ...
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1103.1255
A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data
[ "cs.DB" ]
We describe a generic framework for representing and reasoning with annotated Semantic Web data, a task becoming more important with the recent increased amount of inconsistent and non-reliable meta-data on the web. We formalise the annotated language, the corresponding deductive system and address the query answering ...
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1103.1264
Polynomial cases of the Discretizable Molecular Distance Geometry Problem
[ "cs.CG", "cs.CE", "cs.DS", "q-bio.QM" ]
An important application of distance geometry to biochemistry studies the embeddings of the vertices of a weighted graph in the three-dimensional Euclidean space such that the edge weights are equal to the Euclidean distances between corresponding point pairs. When the graph represents the backbone of a protein, one ca...
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1103.1286
A note on Tempelmeier's {\beta}-service measure under non-stationary stochastic demand
[ "math.OC", "cs.SY" ]
Tempelmeier (2007) considers the problem of computing replenishment cycle policy parameters under non-stationary stochastic demand and service level constraints. He analyses two possible service level measures: the minimum no stock-out probability per period ({\alpha}-service level) and the so called "fill rate", that ...
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1103.1305
Generic Approach for Hierarchical Modulation Performance Analysis: Application to DVB-SH
[ "cs.IT", "cs.PF", "math.IT" ]
Broadcasting systems have to deal with channel diversity in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide several rates in function of the channel quality. Unfortunately the performance evaluation of such modulations requires time consuming simulations. We propose...
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1103.1306
A Secure Communication Game with a Relay Helping the Eavesdropper
[ "cs.IT", "math.IT" ]
In this work a four terminal complex Gaussian network composed of a source, a destination, an eavesdropper and a jammer relay is studied under two different set of assumptions: (i) The jammer relay does not hear the source transmission, and (ii) The jammer relay is causally given the source message. In both cases the j...
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1103.1343
Realization theory of discrete-time linear switched systems
[ "math.OC", "cs.SY" ]
The paper presents realization theory of discrete-time linear switched systems. A discrete-time linear switched system is a hybrid system, such that the continuous sub-system associated with each discrete state is linear. In this paper we present necessary and sufficient conditions for an input-output map to admit a di...
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1103.1349
On the notion of persistence of excitation for linear switched systems
[ "math.OC", "cs.SY" ]
The paper formulates the concept of persistence of excitation for discrete-time linear switched systems, and provides sufficient conditions for an input signal to be persistently exciting. Persistence of excitation is formulated as a property of the input signal, and it is not tied to any specific identification algori...
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1103.1359
An Analysis of Optimal Link Bombs
[ "cs.DM", "cs.SI" ]
We analyze the phenomenon of collusion for the purpose of boosting the pagerank of a node in an interlinked environment. We investigate the optimal attack pattern for a group of nodes (attackers) attempting to improve the ranking of a specific node (the victim). We consider attacks where the attackers can only manipula...
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1103.1365
Design of Strict Control-Lyapunov Functions for Quantum Systems with QND Measurements
[ "math.OC", "cs.SY", "quant-ph" ]
We consider discrete-time quantum systems subject to Quantum Non-Demolition (QND) measurements and controlled by an adjustable unitary evolution between two successive QND measures. In open-loop, such QND measurements provide a non-deterministic preparation tool exploiting the back-action of the measurement on the quan...
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1103.1367
Efficient Batch Query Answering Under Differential Privacy
[ "cs.DB" ]
Differential privacy is a rigorous privacy condition achieved by randomizing query answers. This paper develops efficient algorithms for answering multiple queries under differential privacy with low error. We pursue this goal by advancing a recent approach called the matrix mechanism, which generalizes standard differ...
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1103.1396
Scale free networks by preferential depletion
[ "physics.soc-ph", "cond-mat.stat-mech", "cs.SI", "physics.bio-ph", "physics.comp-ph" ]
We show that not only preferential attachment but also preferential depletion leads to scale-free networks. The resulting degree distribution exponents is typically less than two (5/3) as opposed to the case of the growth models studied before where the exponents are larger. Our approach applies in particular to biolog...
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1103.1401
Opportunistic Cooperation in Cognitive Femtocell Networks
[ "math.OC", "cs.SY" ]
We investigate opportunistic cooperation between unlicensed secondary users and legacy primary users in a cognitive radio network. Specifically, we consider a model of a cognitive network where a secondary user can cooperatively transmit with the primary user in order to improve the latter's effective transmission rate...
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1103.1403
Study of Throughput and Delay in Finite-Buffer Line Networks
[ "cs.IT", "math.IT" ]
In this work, we study the effects of finite buffers on the throughput and delay of line networks with erasure links. We identify the calculation of performance parameters such as throughput and delay to be equivalent to determining the stationary distribution of an irreducible Markov chain. We note that the number of ...
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1103.1417
Localization from Incomplete Noisy Distance Measurements
[ "math.ST", "cs.LG", "cs.SY", "math.OC", "math.PR", "stat.TH" ]
We consider the problem of positioning a cloud of points in the Euclidean space $\mathbb{R}^d$, using noisy measurements of a subset of pairwise distances. This task has applications in various areas, such as sensor network localization and reconstruction of protein conformations from NMR measurements. Also, it is clos...
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1103.1424
On the Average Complexity of Sphere Decoding in Lattice Space-Time Coded MIMO Channel
[ "cs.IT", "math.IT" ]
The exact average complexity analysis of the basic sphere decoder for general space-time codes applied to multiple-input multiple-output (MIMO) wireless channel is known to be difficult. In this work, we shed the light on the computational complexity of sphere decoding for the quasi-static, LAttice Space-Time (LAST) co...
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1103.1432
Vectorial Feedback with Carry Registers and Memory requirements
[ "cs.IT", "cs.CR", "math.IT" ]
In \cite{marjane2010}, we have introduced vectorial conception of FCSR's in Fibonacci mode. This conception allows us to easily analyze FCSR's over binary finite fields $\mathbb{F}_{2^{n}}$ for $n\geq 2$. In \cite{allailou2010}, we describe and study the corresponding Galois mode and use it to design a new stream ciphe...
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1103.1439
Generating Functional Analysis for Iterative CDMA Multiuser Detectors
[ "cs.IT", "cond-mat.dis-nn", "math.IT" ]
We investigate the detection dynamics of a soft parallel interference canceller (soft-PIC), which includes a hard-PIC as a special case, for code-division multiple-access (CDMA) multiuser detection, applied to a randomly spread, fully synchronous base-band uncoded CDMA channel model with additive white Gaussian noise u...
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1103.1448
Optimal Multi-Server Allocation to Parallel Queues With Independent Random Queue-Server Connectivity
[ "cs.IT", "cs.NI", "cs.SY", "math.IT", "math.OC" ]
We investigate an optimal scheduling problem in a discrete-time system of L parallel queues that are served by K identical, randomly connected servers. Each queue may be connected to a subset of the K servers during any given time slot. This model has been widely used in studies of emerging 3G/4G wireless systems. We i...
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1103.1453
Cooperative Retransmissions Through Collisions
[ "cs.IT", "cs.NI", "math.IT" ]
Interference in wireless networks is one of the key capacity-limiting factors. Recently developed interference-embracing techniques show promising performance on turning collisions into useful transmissions. However, the interference-embracing techniques are hard to apply in practical applications due to their strict r...
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1103.1474
Evaluation of a Novel Approach for Automatic Volume Determination of Glioblastomas Based on Several Manual Expert Segmentations
[ "cs.CV", "physics.med-ph", "q-bio.TO" ]
The glioblastoma multiforme is the most common malignant primary brain tumor and is one of the highest malignant human neoplasms. During the course of disease, the evaluation of tumor volume is an essential part of the clinical follow-up. However, manual segmentation for acquisition of tumor volume is a time-consuming ...
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1103.1475
A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain
[ "cs.CV" ]
Diffusion Tensor Imaging (DTI) allows estimating the position, orientation and dimension of bundles of nerve pathways. This non-invasive imaging technique takes advantage of the diffusion of water molecules and determines the diffusion coefficients for every voxel of the data set. The identification of the diffusion co...
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1103.1516
Climbing depth-bounded adjacent discrepancy search for solving hybrid flow shop scheduling problems with multiprocessor tasks
[ "cs.RO", "cs.AI" ]
This paper considers multiprocessor task scheduling in a multistage hybrid flow-shop environment. The problem even in its simplest form is NP-hard in the strong sense. The great deal of interest for this problem, besides its theoretical complexity, is animated by needs of various manufacturing and computing systems. We...
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1103.1529
Algorithmic tests and randomness with respect to a class of measures
[ "math.LO", "cs.IT", "math.IT", "math.PR" ]
The paper considers quantitative versions of different randomness notions: algorithmic test measures the amount of non-randomness (and is infinite for non-random sequences). We start with computable measures on Cantor space (and Martin-Lof randomness), then consider uniform randomness (test is a function of a sequence ...
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1103.1530
A Discrete Evolutionary Model for Chess Players' Ratings
[ "physics.soc-ph", "cs.AI" ]
The Elo system for rating chess players, also used in other games and sports, was adopted by the World Chess Federation over four decades ago. Although not without controversy, it is accepted as generally reliable and provides a method for assessing players' strengths and ranking them in official tournaments. It is g...
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1103.1542
The tractability of CSP classes defined by forbidden patterns
[ "cs.AI", "cs.CC", "cs.DS" ]
The constraint satisfaction problem (CSP) is a general problem central to computer science and artificial intelligence. Although the CSP is NP-hard in general, considerable effort has been spent on identifying tractable subclasses. The main two approaches consider structural properties (restrictions on the hypergraph o...
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1103.1544
Cost Sharing in Social Community Networks
[ "cs.NI", "cs.SI" ]
Wireless social community networks (WSCNs) is an emerging technology that operate in the unlicensed spectrum and have been created as an alternative to cellular wireless networks for providing low-cost, high speed wireless data access in urban areas. WSCNs is an upcoming idea that is starting to gain attention amongst ...
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1103.1559
Minimum Pseudoweight Analysis of 3-Dimensional Turbo Codes
[ "cs.IT", "math.IT" ]
In this work, we consider pseudocodewords of (relaxed) linear programming (LP) decoding of 3-dimensional turbo codes (3D-TCs). We present a relaxed LP decoder for 3D-TCs, adapting the relaxed LP decoder for conventional turbo codes proposed by Feldman in his thesis. We show that the 3D-TC polytope is proper and $C$-sym...
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1103.1587
All Roads Lead To Rome
[ "cs.CV" ]
This short article presents a class of projection-based solution algorithms to the problem considered in the pioneering work on compressed sensing - perfect reconstruction of a phantom image from 22 radial lines in the frequency domain. Under the framework of projection-based image reconstruction, we will show experime...
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1103.1598
Mean Interference in Hard-Core Wireless Networks
[ "cs.IT", "cs.NI", "math.IT", "math.PR", "math.ST", "stat.TH" ]
Mat\'ern hard core processes of types I and II are the point processes of choice to model concurrent transmitters in CSMA networks. We determine the mean interference observed at a node of the process and compare it with the mean interference in a Poisson point process of the same density. It turns out that despite the...
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1103.1604
On Minimal Constraint Networks
[ "cs.AI", "cs.CC", "cs.DB" ]
In a minimal binary constraint network, every tuple of a constraint relation can be extended to a solution. The tractability or intractability of computing a solution to such a minimal network was a long standing open question. Dechter conjectured this computation problem to be NP-hard. We prove this conjecture. We als...
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1103.1625
A Gentle Introduction to the Kernel Distance
[ "cs.CG", "cs.LG" ]
This document reviews the definition of the kernel distance, providing a gentle introduction tailored to a reader with background in theoretical computer science, but limited exposure to technology more common to machine learning, functional analysis and geometric measure theory. The key aspect of the kernel distance d...
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1103.1665
The Role of Singular Control in Frictionless Atom Cooling in a Harmonic Trapping Potential
[ "math.OC", "cond-mat.quant-gas", "cs.SY", "quant-ph" ]
In this article we study the frictionless cooling of atoms trapped in a harmonic potential, while minimizing the transient energy of the system. We show that in the case of unbounded control, this goal is achieved by a singular control, which is also the time-minimal solution for a "dual" problem, where the energy is h...
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1103.1672
The Generalized Degrees of Freedom of the MIMO Interference Channel
[ "cs.IT", "math.IT" ]
The generalized degrees of freedom (GDoF) region of the MIMO Gaussian interference channel is obtained for the general case with an arbitrary number of antennas at each node and where the SNR and interference-to-noise ratios (INRs) vary with arbitrary exponents to a nominal SNR. The GDoF region reveals various insights...
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1103.1680
Epidemic thresholds in directed complex networks
[ "physics.soc-ph", "cs.SI" ]
The spread of a disease, a computer virus or information is discussed in a directed complex network. We are concerned with a steady state of the spread for the SIR and SIS dynamic models. In a scale-free directed network it is shown that the threshold of its outbreak in both models approaches zero under a high correlat...
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1103.1689
Information Theoretic Limits on Learning Stochastic Differential Equations
[ "cs.IT", "cs.LG", "math.IT", "math.ST", "q-fin.ST", "stat.ML", "stat.TH" ]
Consider the problem of learning the drift coefficient of a stochastic differential equation from a sample path. In this paper, we assume that the drift is parametrized by a high dimensional vector. We address the question of how long the system needs to be observed in order to learn this vector of parameters. We prove...
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1103.1711
Planning Graph Heuristics for Belief Space Search
[ "cs.AI" ]
Some recent works in conditional planning have proposed reachability heuristics to improve planner scalability, but many lack a formal description of the properties of their distance estimates. To place previous work in context and extend work on heuristics for conditional planning, we provide a formal basis for distan...
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1103.1724
Approximate stabilization of an infinite dimensional quantum stochastic system
[ "math.OC", "cs.SY" ]
We propose a feedback scheme for preparation of photon number states in a microwave cavity. Quantum Non-Demolition (QND) measurements of the cavity field and a control signal consisting of a microwave pulse injected into the cavity are used to drive the system towards a desired target photon number state. Unlike previo...
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1103.1732
Semi-Global Approximate stabilization of an infinite dimensional quantum stochastic system
[ "math.OC", "cs.SY", "math-ph", "math.FA", "math.MP" ]
In this paper we study the semi-global (approximate) state feedback stabilization of an infinite dimensional quantum stochastic system towards a target state. A discrete-time Markov chain on an infinite-dimensional Hilbert space is used to model the dynamics of a quantum optical cavity. We can choose an (unbounded) str...
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1103.1741
Mitigation of Malicious Attacks on Networks
[ "physics.soc-ph", "cs.SI", "physics.comp-ph" ]
Terrorist attacks on transportation networks have traumatized modern societies. With a single blast, it has become possible to paralyze airline traffic, electric power supply, ground transportation or Internet communication. How and at which cost can one restructure the network such that it will become more robust agai...
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1103.1742
Generic Approach for Hierarchical Modulation Performance Analysis: Application to DVB-SH and DVB-S2
[ "cs.IT", "cs.PF", "math.IT" ]
Broadcasting systems have to deal with channel variability in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide different rates to the receivers in function of the channel quality. Unfortunately, the performance evaluation of such modulations requires time consuming s...
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1103.1756
Limitation of network inhomogeneity in improving cooperation in coevolutionary dynamics
[ "physics.soc-ph", "cs.SI" ]
Cooperative behavior is common in nature even if selfishness is sometimes better for an individual. Empirical and theoretical studies have shown that the invasion and expansion of cooperators are related to an inhomogeneous connectivity distribution. Here we study the evolution of cooperation on an adaptive network, in...
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1103.1773
Aorta Segmentation for Stent Simulation
[ "cs.CV", "physics.med-ph" ]
Simulation of arterial stenting procedures prior to intervention allows for appropriate device selection as well as highlights potential complications. To this end, we present a framework for facilitating virtual aortic stenting from a contrast computer tomography (CT) scan. More specifically, we present a method for b...
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1103.1777
A Flexible Semi-Automatic Approach for Glioblastoma multiforme Segmentation
[ "cs.CE", "physics.med-ph", "q-bio.TO" ]
Gliomas are the most common primary brain tumors, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential. Volumetric assessment of tumor volume with manual segmentation of its outlines is a time-consuming process that can be overcome with the he...
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1103.1778
Pituitary Adenoma Segmentation
[ "cs.CE", "physics.med-ph", "q-bio.TO" ]
Sellar tumors are approximately 10-15% among all intracranial neoplasms. The most common sellar lesion is the pituitary adenoma. Manual segmentation is a time-consuming process that can be shortened by using adequate algorithms. In this contribution, we present a segmentation method for pituitary adenoma. The method is...
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1103.1784
On the Optimality of Myopic Sensing in Multi-channel Opportunistic Access: the Case of Sensing Multiple Channels
[ "cs.IT", "math.IT" ]
Recent works have developed a simple and robust myopic sensing policy for multi-channel opportunistic communication systems where a secondary user (SU) can access one of N i.i.d. Markovian channels. The optimality of the myopic sensing policy in maximizing the SU's cumulated reward is established under certain conditio...
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1103.1791
Integrated information increases with fitness in the evolution of animats
[ "q-bio.PE", "cs.AI", "nlin.AO", "q-bio.NC" ]
One of the hallmarks of biological organisms is their ability to integrate disparate information sources to optimize their behavior in complex environments. How this capability can be quantified and related to the functional complexity of an organism remains a challenging problem, in particular since organismal functio...
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1103.1834
On the elusiveness of clusters
[ "q-bio.PE", "cs.SI", "physics.soc-ph" ]
Rooted phylogenetic networks are often used to represent conflicting phylogenetic signals. Given a set of clusters, a network is said to represent these clusters in the "softwired" sense if, for each cluster in the input set, at least one tree embedded in the network contains that cluster. Motivated by parsimony we mig...
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1103.1898
Recognizing Uncertainty in Speech
[ "cs.CL" ]
We address the problem of inferring a speaker's level of certainty based on prosodic information in the speech signal, which has application in speech-based dialogue systems. We show that using phrase-level prosodic features centered around the phrases causing uncertainty, in addition to utterance-level prosodic featur...
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1103.1918
Stochastic Optimal Control for Online Seller under Reputational Mechanisms
[ "math.OC", "cs.SY", "math.PR" ]
In this work we propose and analyze a model which addresses the pulsing behavior of sellers in an online auction (store). This pulsing behavior is observed when sellers switch between advertising and processing states. We assert that a seller switches her state in order to maximize her profit, and further that this swi...
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1103.1923
Dengue disease, basic reproduction number and control
[ "math.OC", "cs.SY", "physics.med-ph", "q-bio.OT" ]
Dengue is one of the major international public health concerns. Although progress is underway, developing a vaccine against the disease is challenging. Thus, the main approach to fight the disease is vector control. A model for the transmission of Dengue disease is presented. It consists of eight mutually exclusive co...
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1103.1943
Compressed Sensing over $\ell_p$-balls: Minimax Mean Square Error
[ "cs.IT", "math.IT", "math.ST", "stat.TH" ]
We consider the compressed sensing problem, where the object $x_0 \in \bR^N$ is to be recovered from incomplete measurements $y = Ax_0 + z$; here the sensing matrix $A$ is an $n \times N$ random matrix with iid Gaussian entries and $n < N$. A popular method of sparsity-promoting reconstruction is $\ell^1$-penalized lea...
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1103.1952
Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation
[ "cs.CV" ]
Diffusion Tensor Imaging (DTI) provides the possibility of estimating the location and course of eloquent structures in the human brain. Knowledge about this is of high importance for preoperative planning of neurosurgical interventions and for intraoperative guidance by neuronavigation in order to minimize postoperati...
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1103.1958
On the Root Finding Step in List Decoding of Folded Reed-Solomon Codes
[ "cs.IT", "math.IT" ]
The root finding step of the Guruswami-Rudra list decoding algorithm for folded Reed-Solomon codes is considered. It is shown that a multivariate generalization of the Roth-Ruckenstein algorithm can be used to implement it. This leads to an improved bound on the size of the list produced by the decoder, as well as enab...
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1103.1991
Connectivity of Large Scale Networks: Emergence of Unique Unbounded Component
[ "cs.IT", "cs.NI", "math.IT" ]
This paper studies networks where all nodes are distributed on a unit square $A\triangleq[(-1/2,1/2)^{2}$ following a Poisson distribution with known density $\rho$ and a pair of nodes separated by an Euclidean distance $x$ are directly connected with probability $g(\frac{x}{r_{\rho}})$, independent of the event that a...
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1103.1994
Connectivity of Large Scale Networks: Distribution of Isolated Nodes
[ "cs.IT", "cs.NI", "math.IT" ]
Connectivity is one of the most fundamental properties of wireless multi-hop networks. A network is said to be connected if there is a path between any pair of nodes. A convenient way to study the connectivity of a random network is by investigating the condition under which the network has no isolated node. The condit...
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1103.2046
Wireless Network Simplification: the Gaussian N-Relay Diamond Network
[ "cs.IT", "math.IT" ]
We consider the Gaussian N-relay diamond network, where a source wants to communicate to a destination node through a layer of N-relay nodes. We investigate the following question: what fraction of the capacity can we maintain by using only k out of the N available relays? We show that independent of the channel config...
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1103.2059
The Walk Distances in Graphs
[ "math.CO", "cs.DM", "cs.SI", "math.MG" ]
The walk distances in graphs are defined as the result of appropriate transformations of the $\sum_{k=0}^\infty(tA)^k$ proximity measures, where $A$ is the weighted adjacency matrix of a graph and $t$ is a sufficiently small positive parameter. The walk distances are graph-geodetic; moreover, they converge to the short...
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1103.2068
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data
[ "cs.LG", "cs.DC", "stat.ML" ]
COMET is a single-pass MapReduce algorithm for learning on large-scale data. It builds multiple random forest ensembles on distributed blocks of data and merges them into a mega-ensemble. This approach is appropriate when learning from massive-scale data that is too large to fit on a single machine. To get the best acc...
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1103.2071
Secure Satellite Communication Systems Design with Individual Secrecy Rate Constraints
[ "cs.IT", "cs.CR", "cs.NI", "math.IT" ]
In this paper, we study multibeam satellite secure communication through physical (PHY) layer security techniques, i.e., joint power control and beamforming. By first assuming that the Channel State Information (CSI) is available and the beamforming weights are fixed, a novel secure satellite system design is investiga...
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1103.2091
An Artificial Immune System Model for Multi-Agents Resource Sharing in Distributed Environments
[ "cs.AI" ]
Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself from external predates making it consistent systems, capable of adapting itself for survival incase of changes. The human immune system has motivated scientists and engineers for finding powerful i...
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1103.2110
A hybrid model for bankruptcy prediction using genetic algorithm, fuzzy c-means and mars
[ "cs.NE", "cs.AI" ]
Bankruptcy prediction is very important for all the organization since it affects the economy and rise many social problems with high costs. There are large number of techniques have been developed to predict the bankruptcy, which helps the decision makers such as investors and financial analysts. One of the bankruptcy...
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1103.2172
Cooperative Strategies for Interference-Limited Wireless Networks
[ "cs.IT", "math.IT" ]
Consider the communication of a single-user aided by a nearby relay involved in a large wireless network where the nodes form an homogeneous Poisson point process. Since this network is interference-limited the asymptotic error probability is bounded from above by the outage probability experienced by the user. We inve...
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1103.2177
Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks
[ "cs.IT", "math.IT" ]
Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, fl...
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1103.2184
On Stability of V-Like Formations
[ "physics.soc-ph", "cs.SI", "nlin.AO" ]
Group behavior has received much attention as a test case of self-organization. There has been much written in recent years to investigate interactions within groups of agents. These agents can be animals moving in an interactive way, such as birds, but can also refer to situations such as people driving in traffic. Th...
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1103.2230
Control Complexity in Bucklin and Fallback Voting
[ "cs.CC", "cs.MA" ]
Electoral control models ways of changing the outcome of an election via such actions as adding/deleting/partitioning either candidates or voters. To protect elections from such control attempts, computational complexity has been investigated and the corresponding NP-hardness results are termed "resistance." It has bee...
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1103.2240
Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach
[ "cs.IT", "math.IT" ]
This paper investigates the price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell. Assuming that the macrocell base station (MBS) p...
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1103.2252
Analytically solvable processes on networks
[ "physics.soc-ph", "cond-mat.stat-mech", "cs.SI" ]
We introduce a broad class of analytically solvable processes on networks. In the special case, they reduce to random walk and consensus process - two most basic processes on networks. Our class differs from previous models of interactions (such as stochastic Ising model, cellular automata, infinite particle system, an...
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1103.2264
Rich-club and page-club coefficients for directed graphs
[ "physics.soc-ph", "cond-mat.stat-mech", "cs.SI" ]
Rich-club and page-club coefficients and their null models are introduced for directed graphs. Null models allow for a quantitative discussion of the rich-club and page-club phenomena. These coefficients are computed for four directed real-world networks: Arxiv High Energy Physics paper citation network, Web network (r...
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1103.2289
A Token Based Algorithm to Distributed Computation in Sensor Networks
[ "cs.NI", "cs.DC", "cs.IT", "cs.SY", "math.IT", "math.OC" ]
We consider distributed algorithms for data aggregation and function computation in sensor networks. The algorithms perform pairwise computations along edges of an underlying communication graph. A token is associated with each sensor node, which acts as a transmission permit. Nodes with active tokens have transmission...
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1103.2325
Self reference in word definitions
[ "cs.CL", "cs.AI", "physics.soc-ph" ]
Dictionaries are inherently circular in nature. A given word is linked to a set of alternative words (the definition) which in turn point to further descendants. Iterating through definitions in this way, one typically finds that definitions loop back upon themselves. The graph formed by such definitional relations is ...
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1103.2342
SPPAM - Statistical PreProcessing AlgorithM
[ "cs.AI" ]
Most machine learning tools work with a single table where each row is an instance and each column is an attribute. Each cell of the table contains an attribute value for an instance. This representation prevents one important form of learning, which is, classification based on groups of correlated records, such as mul...
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1103.2351
Engineering Relative Compression of Genomes
[ "cs.CE", "cs.IT", "math.IT", "q-bio.QM" ]
Technology progress in DNA sequencing boosts the genomic database growth at faster and faster rate. Compression, accompanied with random access capabilities, is the key to maintain those huge amounts of data. In this paper we present an LZ77-style compression scheme for relative compression of multiple genomes of the s...
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1103.2356
Adaptive mosaic image representation for image processing
[ "physics.data-an", "cs.CV" ]
Method for a mosaic image representation (MIR) is proposed for a selective treatment of image fragments of different transition frequency. MIR method is based on piecewise-constant image approximation on a non-uniform orthogonal grid constructed by the following recurrent multigrid algorithm. A sequence of nested unifo...
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1103.2376
Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis
[ "cs.AI" ]
An emotional version of Sapir-Whorf hypothesis suggests that differences in language emotionalities influence differences among cultures no less than conceptual differences. Conceptual contents of languages and cultures to significant extent are determined by words and their semantic differences; these could be borrowe...
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1103.2406
Automatic Wrappers for Large Scale Web Extraction
[ "cs.DB" ]
We present a generic framework to make wrapper induction algorithms tolerant to noise in the training data. This enables us to learn wrappers in a completely unsupervised manner from automatically and cheaply obtained noisy training data, e.g., using dictionaries and regular expressions. By removing the site-level supe...
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1103.2408
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore
[ "cs.DB", "cs.DC" ]
Spinnaker is an experimental datastore that is designed to run on a large cluster of commodity servers in a single datacenter. It features key-based range partitioning, 3-way replication, and a transactional get-put API with the option to choose either strong or timeline consistency on reads. This paper describes Spinn...
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1103.2409
Fast Set Intersection in Memory
[ "cs.DB", "cs.DS" ]
Set intersection is a fundamental operation in information retrieval and database systems. This paper introduces linear space data structures to represent sets such that their intersection can be computed in a worst-case efficient way. In general, given k (preprocessed) sets, with totally n elements, we will show how t...
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1103.2410
Large-Scale Collective Entity Matching
[ "cs.DB" ]
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being applied in practical settings on large real-life datasets. Towards this end, we propose a principled framework to scale any generic EM algorithm...
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1103.2411
Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning
[ "cs.IT", "math.IT", "math.ST", "physics.data-an", "stat.TH" ]
This paper modifies Jaynes's axioms of plausible reasoning and derives the minimum relative entropy principle, Bayes's rule, as well as maximum likelihood from first principles. The new axioms, which I call the Optimum Information Principle, is applicable whenever the decision maker is given the data and the relevant b...
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1103.2431
The Embedding Capacity of Information Flows Under Renewal Traffic
[ "cs.IT", "math.IT" ]
Given two independent point processes and a certain rule for matching points between them, what is the fraction of matched points over infinitely long streams? In many application contexts, e.g., secure networking, a meaningful matching rule is that of a maximum causal delay, and the problem is related to embedding a f...
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1103.2447
Mini-step Strategy for Transient Analysis
[ "cs.CE" ]
Domain decomposition methods are widely used to solve sparse linear systems from scientific problems, but they are not suited to solve sparse linear systems extracted from integrated circuits. The reason is that the sparse linear system of integrated circuits may be non-diagonal-dominant, and domain decomposition metho...
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1103.2467
Commuter networks and community detection: a method for planning sub regional areas
[ "physics.soc-ph", "cs.SI" ]
A major issue for policy makers and planners is the definition of the "ideal" regional partition, i.e. the delimitation of sub-regional domains showing a sufficient level of homogeneity with respect to some specific territorial features. In Sardinia, the second major island in the Mediterranean sea, politicians and ana...
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1103.2469
Blind Compressed Sensing Over a Structured Union of Subspaces
[ "cs.IT", "math.IT" ]
This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple sensing matrices, under the assumption that the unknown signals come from a union of a small number of disjoint subspaces. This problem is impo...
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1103.2491
Heterogeneous Learning in Zero-Sum Stochastic Games with Incomplete Information
[ "cs.LG", "cs.GT", "cs.SY", "math.OC" ]
Learning algorithms are essential for the applications of game theory in a networking environment. In dynamic and decentralized settings where the traffic, topology and channel states may vary over time and the communication between agents is impractical, it is important to formulate and study games of incomplete infor...
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1103.2493
A Constrained Evolutionary Gaussian Multiple Access Channel Game
[ "cs.GT", "cs.SY", "math.DS", "math.OC" ]
In this paper, we formulate an evolutionary multiple access channel game with continuous-variable actions and coupled rate constraints. We characterize Nash equilibria of the game and show that the pure Nash equilibria are Pareto optimal and also resilient to deviations by coalitions of any size, i.e., they are strong ...
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1103.2496
Evolutionary Games for Multiple Access Control
[ "cs.GT", "cs.SY", "math.DS", "math.OC" ]
In this paper, we formulate an evolutionarymultiple access control game with continuousvariable actions and coupled constraints. We characterize equilibria of the game and show that the pure equilibria are Pareto optimal and also resilient to deviations by coalitions of any size, i.e., they are strong equilibria. We us...
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1103.2501
On Gaussian Multiple Access Channels with Interference: Achievable Rates and Upper Bounds
[ "cs.IT", "math.IT" ]
We study the interaction between two interfering Gaussian 2-user multiple access channels. The capacity region is characterized under mixed strong--extremely strong interference and individually very strong interference. Furthermore, the sum capacity is derived under a less restricting definition of very strong interfe...
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1103.2503
Coded Single-Tone Signaling for Resource Coordination and Interference Management in Femtocell Networks
[ "cs.IT", "math.IT" ]
Resource coordination and interference management is the key to achieving the benefits of femtocell networks. Over-the-air signaling is one of the most effective means for distributed dynamic resource coordination and interference management. However, the design of this type of signal is challenging. In this letter, we...
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1103.2539
SO(3)-invariant asymptotic observers for dense depth field estimation based on visual data and known camera motion
[ "math.OC", "cs.CV" ]
In this paper, we use known camera motion associated to a video sequence of a static scene in order to estimate and incrementally refine the surrounding depth field. We exploit the SO(3)-invariance of brightness and depth fields dynamics to customize standard image processing techniques. Inspired by the Horn-Schunck me...
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1103.2544
Almost-perfect secret sharing
[ "cs.IT", "cs.CR", "math.IT" ]
Splitting a secret s between several participants, we generate (for each value of s) shares for all participants. The goal: authorized groups of participants should be able to reconstruct the secret but forbidden ones get no information about it. In this paper we introduce several notions of non- perfect secret sharing...
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1103.2545
On essentially conditional information inequalities
[ "cs.IT", "cs.DM", "math.IT", "math.PR" ]
In 1997, Z.Zhang and R.W.Yeung found the first example of a conditional information inequality in four variables that is not "Shannon-type". This linear inequality for entropies is called conditional (or constraint) since it holds only under condition that some linear equations are satisfied for the involved entropies....
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1103.2560
The Generalized Degrees of Freedom Region of the MIMO Interference Channel
[ "cs.IT", "math.IT" ]
The generalized degrees of freedom (GDoF) region of the MIMO Gaussian interference channel (IC) is obtained for the general case of an arbitrary number of antennas at each node and where the signal-to-noise ratios (SNR) and interference-to-noise ratios (INR) vary with arbitrary exponents to a nominal SNR. The GDoF regi...
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1103.2566
Optimal query/update tradeoffs in versioned dictionaries
[ "cs.DS", "cs.DB" ]
External-memory dictionaries are a fundamental data structure in file systems and databases. Versioned (or fully-persistent) dictionaries have an associated version tree where queries can be performed at any version, updates can be performed on leaf versions, and any version can be `cloned' by adding a child. Various q...
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1103.2573
Optimization of Fast-Decodable Full-Rate STBC with Non-Vanishing Determinants
[ "cs.IT", "math.IT" ]
Full-rate STBC (space-time block codes) with non-vanishing determinants achieve the optimal diversity-multiplexing tradeoff but incur high decoding complexity. To permit fast decoding, Sezginer, Sari and Biglieri proposed an STBC structure with special QR decomposition characteristics. In this paper, we adopt a simplif...
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1103.2574
A multiplicative characterization of the power means
[ "math.FA", "cs.IT", "math.CA", "math.IT" ]
A startlingly simple characterization of the p-norms has recently been found by Aubrun and Nechita (arXiv:1102.2618) and by Fernandez-Gonzalez, Palazuelos and Perez-Garcia. We deduce a simple characterization of the power means of order greater than or equal to 1.
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1103.2579
Prices of Anarchy, Information, and Cooperation in Differential Games
[ "cs.SY", "cs.GT", "math.OC" ]
The price of anarchy (PoA) has been widely used in static games to quantify the loss of efficiency due to noncooperation. Here, we extend this concept to a general differential games framework. In addition, we introduce the price of information (PoI) to characterize comparative game performances under different informa...
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1103.2580
Inequalities Among Logarithmic-Mean Measures
[ "cs.IT", "math.IT" ]
In this paper we shall consider some famous means such as arithmetic, harmonic, geometric, logarithmic means, etc. Inequalities involving logarithmic mean with differences among other means are presented
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