id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
1105.5176 | The merit factor of binary arrays derived from the quadratic character | [
"cs.IT",
"math.IT"
] | We calculate the asymptotic merit factor, under all cyclic rotations of rows and columns, of two families of binary two-dimensional arrays derived from the quadratic character. The arrays in these families have size p x q, where p and q are not necessarily distinct odd primes, and can be considered as two-dimensional g... | {
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1105.5178 | The peak sidelobe level of random binary sequences | [
"math.CO",
"cs.IT",
"math.IT"
] | Let $A_n=(a_0,a_1,\dots,a_{n-1})$ be drawn uniformly at random from $\{-1,+1\}^n$ and define \[ M(A_n)=\max_{0<u<n}\,\Bigg|\sum_{j=0}^{n-u-1}a_ja_{j+u}\Bigg|\quad\text{for $n>1$}. \] It is proved that $M(A_n)/\sqrt{n\log n}$ converges in probability to $\sqrt{2}$. This settles a problem first studied by Moon and Moser ... | {
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1105.5180 | The L_4 norm of Littlewood polynomials derived from the Jacobi symbol | [
"math.NT",
"cs.IT",
"math.IT"
] | Littlewood raised the question of how slowly the L_4 norm ||f||_4 of a Littlewood polynomial f (having all coefficients in {-1,+1}) of degree n-1 can grow with n. We consider such polynomials for odd square-free n, where \phi(n) coefficients are determined by the Jacobi symbol, but the remaining coefficients can be fre... | {
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1105.5196 | Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint
Semantic Spaces | [
"cs.LG"
] | Music prediction tasks range from predicting tags given a song or clip of audio, predicting the name of the artist, or predicting related songs given a song, clip, artist name or tag. That is, we are interested in every semantic relationship between the different musical concepts in our database. In realistically sized... | {
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1105.5215 | Compressive Identification of Linear Operators | [
"cs.IT",
"math.IT"
] | We consider the problem of identifying a linear deterministic operator from an input-output measurement. For the large class of continuous (and hence bounded) operators, under additional mild restrictions, we show that stable identifiability is possible if the total support area of the operator's spreading function sat... | {
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1105.5235 | The rocket problem in general relativity | [
"gr-qc",
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"math.OC"
] | We derive the covariant optimality conditions for rocket trajectories in general relativity, with and without a bound on the magnitude of the proper acceleration. The resulting theory is then applied to solve two specific problems: the minimum fuel consumption transfer between two galaxies in a FLRW model, and between ... | {
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1105.5294 | A long-time limit of world subway networks | [
"physics.soc-ph",
"cs.SI"
] | We study the temporal evolution of the structure of the world's largest subway networks in an exploratory manner. We show that, remarkably, all these networks converge to {a shape which shares similar generic features} despite their geographic and economic differences. This limiting shape is made of a core with branche... | {
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1105.5306 | On the Generalized Degrees of Freedom of the K-user Symmetric MIMO
Gaussian Interference Channel | [
"cs.IT",
"math.IT"
] | The K-user symmetric multiple input multiple output (MIMO) Gaussian interference channel (IC) where each transmitter has M antennas and each receiver has N antennas is studied from a generalized degrees of freedom (GDOF) perspective. An inner bound on the GDOF is derived using a combination of techniques such as treati... | {
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1105.5307 | Efficient Learning of Sparse Invariant Representations | [
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] | We propose a simple and efficient algorithm for learning sparse invariant representations from unlabeled data with fast inference. When trained on short movies sequences, the learned features are selective to a range of orientations and spatial frequencies, but robust to a wide range of positions, similar to complex ce... | {
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1105.5332 | Multidimensional Scaling in the Poincare Disk | [
"stat.ML",
"cs.SI"
] | Multidimensional scaling (MDS) is a class of projective algorithms traditionally used in Euclidean space to produce two- or three-dimensional visualizations of datasets of multidimensional points or point distances. More recently however, several authors have pointed out that for certain datasets, hyperbolic target spa... | {
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1105.5344 | Partitioning Breaks Communities | [
"physics.soc-ph",
"cs.SI"
] | Considering a clique as a conservative definition of community structure, we examine how graph partitioning algorithms interact with cliques. Many popular community-finding algorithms partition the entire graph into non-overlapping communities. We show that on a wide range of empirical networks, from different domains,... | {
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1105.5370 | Quantum Communication Complexity of Quantum Authentication Protocols | [
"cs.IT",
"math.IT",
"quant-ph"
] | In order to perform Quantum Cryptography procedures it is often essencial to ensure that the parties of the communication are authentic. Such task is accomplished by quantum authentication protocols which are distributed algorithms based on the intrinsic properties of Quantum Mechanics. The choice of an authentication ... | {
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1105.5379 | Parallel Coordinate Descent for L1-Regularized Loss Minimization | [
"cs.LG",
"cs.IT",
"math.IT"
] | We propose Shotgun, a parallel coordinate descent algorithm for minimizing L1-regularized losses. Though coordinate descent seems inherently sequential, we prove convergence bounds for Shotgun which predict linear speedups, up to a problem-dependent limit. We present a comprehensive empirical study of Shotgun for Lasso... | {
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1105.5419 | Strong Secrecy from Channel Resolvability | [
"cs.IT",
"math.IT"
] | We analyze physical-layer security based on the premise that the coding mechanism for secrecy over noisy channels is tied to the notion of channel resolvability. Instead of considering capacity-based constructions, which associate to each message a sub-code that operates just below the capacity of the eavesdropper's ch... | {
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1105.5427 | Combining Lagrangian Decomposition and Excessive Gap Smoothing Technique
for Solving Large-Scale Separable Convex Optimization Problems | [
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] | A new algorithm for solving large-scale convex optimization problems with a separable objective function is proposed. The basic idea is to combine three techniques: Lagrangian dual decomposition, excessive gap and smoothing. The main advantage of this algorithm is that it dynamically updates the smoothness parameters w... | {
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1105.5432 | Extensions to the Theory of Widely Linear Complex Kalman Filtering | [
"cs.SY",
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"math.IT",
"math.OC"
] | For an improper complex signal x, its complementary covariance ExxT is not zero and thus it carries useful statistical information about x. Widely linear processing exploits Hermitian and complementary covariance to improve performance. In this paper we extend the existing theory of widely linear complex Kalman filters... | {
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1105.5438 | The capacity region of classes of product broadcast channels | [
"cs.IT",
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] | We establish a new outer bound for the capacity region of product broadcast channels. This outer bound matches Marton's inner bound for a variety of classes of product broadcast channels whose capacity regions were previously unknown. These classes include product of reversely semi-deterministic and product of reversel... | {
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1105.5440 | The Ariadne's Clew Algorithm | [
"cs.AI"
] | We present a new approach to path planning, called the "Ariadne's clew algorithm". It is designed to find paths in high-dimensional continuous spaces and applies to robots with many degrees of freedom in static, as well as dynamic environments - ones where obstacles may move. The Ariadne's clew algorithm comprises two ... | {
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1105.5441 | Computational Aspects of Reordering Plans | [
"cs.AI"
] | This article studies the problem of modifying the action ordering of a plan in order to optimise the plan according to various criteria. One of these criteria is to make a plan less constrained and the other is to minimize its parallel execution time. Three candidate definitions are proposed for the first of these crit... | {
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1105.5442 | The Divide-and-Conquer Subgoal-Ordering Algorithm for Speeding up Logic
Inference | [
"cs.AI"
] | It is common to view programs as a combination of logic and control: the logic part defines what the program must do, the control part -- how to do it. The Logic Programming paradigm was developed with the intention of separating the logic from the control. Recently, extensive research has been conducted on automatic g... | {
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1105.5443 | The Gn,m Phase Transition is Not Hard for the Hamiltonian Cycle Problem | [
"cs.AI"
] | Using an improved backtrack algorithm with sophisticated pruning techniques, we revise previous observations correlating a high frequency of hard to solve Hamiltonian Cycle instances with the Gn,m phase transition between Hamiltonicity and non-Hamiltonicity. Instead all tested graphs of 100 to 1500 vertices are easily ... | {
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1105.5444 | Semantic Similarity in a Taxonomy: An Information-Based Measure and its
Application to Problems of Ambiguity in Natural Language | [
"cs.AI"
] | This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algo... | {
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1105.5446 | A Temporal Description Logic for Reasoning about Actions and Plans | [
"cs.AI"
] | A class of interval-based temporal languages for uniformly representing and reasoning about actions and plans is presented. Actions are represented by describing what is true while the action itself is occurring, and plans are constructed by temporally relating actions and world states. The temporal languages are membe... | {
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1105.5447 | Adaptive Parallel Iterative Deepening Search | [
"cs.AI"
] | Many of the artificial intelligence techniques developed to date rely on heuristic search through large spaces. Unfortunately, the size of these spaces and the corresponding computational effort reduce the applicability of otherwise novel and effective algorithms. A number of parallel and distributed approaches to sear... | {
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1105.5448 | Order of Magnitude Comparisons of Distance | [
"cs.AI"
] | Order of magnitude reasoning - reasoning by rough comparisons of the sizes of quantities - is often called 'back of the envelope calculation', with the implication that the calculations are quick though approximate. This paper exhibits an interesting class of constraint sets in which order of magnitude reasoning is dem... | {
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1105.5449 | AntNet: Distributed Stigmergetic Control for Communications Networks | [
"cs.AI"
] | This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo system that was inspired by recent work on the ant colony metaphor for solving optimization problems. AntNet's agents concurrently explore the ne... | {
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1105.5450 | A Counter Example to Theorems of Cox and Fine | [
"cs.AI"
] | Cox's well-known theorem justifying the use of probability is shown not to hold in finite domains. The counterexample also suggests that Cox's assumptions are insufficient to prove the result even in infinite domains. The same counterexample is used to disprove a result of Fine on comparative conditional probability. | {
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1105.5451 | The Automatic Inference of State Invariants in TIM | [
"cs.AI"
] | As planning is applied to larger and richer domains the effort involved in constructing domain descriptions increases and becomes a significant burden on the human application designer. If general planners are to be applied successfully to large and complex domains it is necessary to provide the domain designer with so... | {
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1105.5452 | Unifying Class-Based Representation Formalisms | [
"cs.AI"
] | The notion of class is ubiquitous in computer science and is central in many formalisms for the representation of structured knowledge used both in knowledge representation and in databases. In this paper we study the basic issues underlying such representation formalisms and single out both their common characteristic... | {
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1105.5453 | Complexity of Prioritized Default Logics | [
"cs.AI"
] | In default reasoning, usually not all possible ways of resolving conflicts between default rules are acceptable. Criteria expressing acceptable ways of resolving the conflicts may be hardwired in the inference mechanism, for example specificity in inheritance reasoning can be handled this way, or they may be given abst... | {
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1105.5454 | Squeaky Wheel Optimization | [
"cs.AI"
] | We describe a general approach to optimization which we term `Squeaky Wheel' Optimization (SWO). In SWO, a greedy algorithm is used to construct a solution which is then analyzed to find the trouble spots, i.e., those elements, that, if improved, are likely to improve the objective function score. The results of the an... | {
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1105.5455 | Variational Cumulant Expansions for Intractable Distributions | [
"cs.AI"
] | Intractable distributions present a common difficulty in inference within the probabilistic knowledge representation framework and variational methods have recently been popular in providing an approximate solution. In this article, we describe a perturbational approach in the form of a cumulant expansion which, to low... | {
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1105.5457 | Efficient Implementation of the Plan Graph in STAN | [
"cs.AI"
] | STAN is a Graphplan-based planner, so-called because it uses a variety of STate ANalysis techniques to enhance its performance. STAN competed in the AIPS-98 planning competition where it compared well with the other competitors in terms of speed, finding solutions fastest to many of the problems posed. Although the dom... | {
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1105.5458 | Cooperation between Top-Down and Bottom-Up Theorem Provers | [
"cs.AI"
] | Top-down and bottom-up theorem proving approaches each have specific advantages and disadvantages. Bottom-up provers profit from strong redundancy control but suffer from the lack of goal-orientation, whereas top-down provers are goal-oriented but often have weak calculi when their proof lengths are considered. In orde... | {
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1105.5459 | Solving Highly Constrained Search Problems with Quantum Computers | [
"cs.AI"
] | A previously developed quantum search algorithm for solving 1-SAT problems in a single step is generalized to apply to a range of highly constrained k-SAT problems. We identify a bound on the number of clauses in satisfiability problems for which the generalized algorithm can find a solution in a constant number of ste... | {
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1105.5460 | Decision-Theoretic Planning: Structural Assumptions and Computational
Leverage | [
"cs.AI"
] | Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI planning, decision analysis, operations research, control theory and economics. While the assumptions and perspectives adopted in these areas... | {
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1105.5461 | Probabilistic Deduction with Conditional Constraints over Basic Events | [
"cs.AI"
] | We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globally complete probabilistic deduction with conditional constraints over basic events is NP-hard. We then concentrate on the special case of probabilistic deduction in conditional constraint trees. We elabora... | {
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1105.5462 | Variational Probabilistic Inference and the QMR-DT Network | [
"cs.AI"
] | We describe a variational approximation method for efficient inference in large-scale probabilistic models. Variational methods are deterministic procedures that provide approximations to marginal and conditional probabilities of interest. They provide alternatives to approximate inference methods based on stochastic s... | {
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1105.5463 | Extensible Knowledge Representation: the Case of Description Reasoners | [
"cs.AI"
] | This paper offers an approach to extensible knowledge representation and reasoning for a family of formalisms known as Description Logics. The approach is based on the notion of adding new concept constructors, and includes a heuristic methodology for specifying the desired extensions, as well as a modularized software... | {
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1105.5464 | Learning to Order Things | [
"cs.LG",
"cs.AI"
] | There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order instances given feedback in the form of preference judgments, i.e., statements to the effect that one instance should be ranked ahead of another. We outline a two-stage app... | {
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1105.5465 | Constructing Conditional Plans by a Theorem-Prover | [
"cs.AI"
] | The research on conditional planning rejects the assumptions that there is no uncertainty or incompleteness of knowledge with respect to the state and changes of the system the plans operate on. Without these assumptions the sequences of operations that achieve the goals depend on the initial state and the outcomes of ... | {
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1105.5466 | Issues in Stacked Generalization | [
"cs.AI"
] | Stacked generalization is a general method of using a high-level model to combine lower-level models to achieve greater predictive accuracy. In this paper we address two crucial issues which have been considered to be a `black art' in classification tasks ever since the introduction of stacked generalization in 1992 by... | {
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1105.5476 | Feedback-Topology Designs for Interference Alignment in MIMO
Interference Channels | [
"cs.IT",
"math.IT"
] | Interference alignment (IA) is a joint-transmission technique that achieves the capacity of the interference channel for high signal-to-noise ratios (SNRs). Most prior work on IA is based on the impractical assumption that perfect and global channel-state information(CSI) is available at all transmitters. To implement ... | {
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1105.5488 | Coarse-Grained Topology Estimation via Graph Sampling | [
"cs.SI",
"physics.data-an",
"physics.soc-ph"
] | Many online networks are measured and studied via sampling techniques, which typically collect a relatively small fraction of nodes and their associated edges. Past work in this area has primarily focused on obtaining a representative sample of nodes and on efficient estimation of local graph properties (such as node d... | {
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1105.5516 | Ontology Alignment at the Instance and Schema Level | [
"cs.AI"
] | We present PARIS, an approach for the automatic alignment of ontologies. PARIS aligns not only instances, but also relations and classes. Alignments at the instance-level cross-fertilize with alignments at the schema-level. Thereby, our system provides a truly holistic solution to the problem of ontology alignment. The... | {
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1105.5540 | Finite First Hitting Time versus Stochastic Convergence in Particle
Swarm Optimisation | [
"cs.NE"
] | We reconsider stochastic convergence analyses of particle swarm optimisation, and point out that previously obtained parameter conditions are not always sufficient to guarantee mean square convergence to a local optimum. We show that stagnation can in fact occur for non-trivial configurations in non-optimal parts of th... | {
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1105.5542 | Monte Carlo Algorithms for the Partition Function and Information Rates
of Two-Dimensional Channels | [
"cs.IT",
"math.IT",
"stat.AP",
"stat.CO"
] | The paper proposes Monte Carlo algorithms for the computation of the information rate of two-dimensional source/channel models. The focus of the paper is on binary-input channels with constraints on the allowed input configurations. The problem of numerically computing the information rate, and even the noiseless capac... | {
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1105.5545 | Competing activation mechanisms in epidemics on networks | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.SI"
] | In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated by the hubs with the largest number of connections, recent research has pointed out the role that the innermost, dense core of the network plays in sustaining epidemic processes. Here we show that the mechanism responsib... | {
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1105.5557 | Decoding q-ary lattices in the Lee metric | [
"cs.IT",
"math.CO",
"math.IT"
] | q-ary lattices can be obtained from q-ary codes using the so-called Construction A. We investigate these lattices in the Lee metric and show how their decoding process can be related to the associated codes. For prime q we derive a Lee sphere decoding algorithm for q-ary lattices, present a brief discussion on its comp... | {
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1105.5575 | Comprehensive online Atomic Database Management System (DBMS) with
Highly Qualified Computing Capabilities | [
"physics.atom-ph",
"astro-ph.CO",
"astro-ph.IM",
"cs.DB"
] | The intensive need of atomic data is expanding continuously in a wide variety of applications (e.g. fusion energy and astrophysics, laser-produced, plasma researches, and plasma processing).This paper will introduce our ongoing research work to build a comprehensive, complete, up-to-date, user friendly and online atomi... | {
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1105.5592 | Kernel Belief Propagation | [
"cs.LG"
] | We propose a nonparametric generalization of belief propagation, Kernel Belief Propagation (KBP), for pairwise Markov random fields. Messages are represented as functions in a reproducing kernel Hilbert space (RKHS), and message updates are simple linear operations in the RKHS. KBP makes none of the assumptions commonl... | {
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1105.5594 | A risk profile for information fusion algorithms | [
"cs.IT",
"cond-mat.stat-mech",
"math.IT"
] | E.T. Jaynes, originator of the maximum entropy interpretation of statistical mechanics, emphasized that there is an inevitable trade-off between the conflicting requirements of robustness and accuracy for any inferencing algorithm. This is because robustness requires discarding of information in order to reduce the sen... | {
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1105.5639 | Asynchronous Communication: Capacity Bounds and Suboptimality of
Training | [
"cs.IT",
"math.IT"
] | Several aspects of the problem of asynchronous point-to-point communication without feedback are developed when the source is highly intermittent. In the system model of interest, the codeword is transmitted at a random time within a prescribed window whose length corresponds to the level of asynchronism between the tr... | {
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1105.5640 | Quantized Feedback Control Software Synthesis from System Level Formal
Specifications for Buck DC/DC Converters | [
"cs.SY",
"math.OC"
] | Many Embedded Systems are indeed Software Based Control Systems (SBCSs), that is control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of SBCS control software. In previous works we ... | {
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1105.5651 | Towards a Queueing-Based Framework for In-Network Function Computation | [
"cs.NI",
"cs.IT",
"math.IT"
] | We seek to develop network algorithms for function computation in sensor networks. Specifically, we want dynamic joint aggregation, routing, and scheduling algorithms that have analytically provable performance benefits due to in-network computation as compared to simple data forwarding. To this end, we define a class ... | {
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1105.5667 | Complexity of and Algorithms for Borda Manipulation | [
"cs.AI"
] | We prove that it is NP-hard for a coalition of two manipulators to compute how to manipulate the Borda voting rule. This resolves one of the last open problems in the computational complexity of manipulating common voting rules. Because of this NP-hardness, we treat computing a manipulation as an approximation problem ... | {
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1105.5675 | Scale-Invariant Local Descriptor for Event Recognition in 1D Sensor
Signals | [
"cs.MM",
"cs.CV"
] | In this paper, we introduce a shape-based, time-scale invariant feature descriptor for 1-D sensor signals. The time-scale invariance of the feature allows us to use feature from one training event to describe events of the same semantic class which may take place over varying time scales such as walking slow and walkin... | {
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1105.5676 | Transmission Control of Two-User Slotted ALOHA Over Gilbert-Elliott
Channel: Stability and Delay Analysis | [
"cs.IT",
"math.IT"
] | In this paper, we consider the problem of calculating the stability region and average delay of two user slotted ALOHA over a Gilbert-Elliott channel, where users have channel state information and adapt their transmission probabilities according to the channel state. Each channel has two states, namely, the 'good' and... | {
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1105.5721 | A Philosophical Treatise of Universal Induction | [
"cs.LG",
"cs.IT",
"math.IT"
] | Understanding inductive reasoning is a problem that has engaged mankind for thousands of years. This problem is relevant to a wide range of fields and is integral to the philosophy of science. It has been tackled by many great minds ranging from philosophers to scientists to mathematicians, and more recently computer s... | {
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1105.5736 | Network Codes with Overlapping Chunks over Line Networks: A Case for
Linear-Time Codes | [
"cs.IT",
"math.IT"
] | In this paper, the problem of designing network codes that are both communicationally and computationally efficient over packet line networks with worst-case schedules is considered. In this context, random linear network codes (dense codes) are asymptotically capacity-achieving, but require highly complex coding opera... | {
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1105.5755 | On Real Time Coding with Limited Lookahead | [
"cs.IT",
"math.IT"
] | A real time coding system with lookahead consists of a memoryless source, a memoryless channel, an encoder, which encodes the source symbols sequentially with knowledge of future source symbols upto a fixed finite lookahead, d, with or without feedback of the past channel output symbols and a decoder, which sequentiall... | {
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1105.5762 | On Log-concavity of the Generalized Marcum Q Function | [
"math.ST",
"cs.IT",
"math.CA",
"math.IT",
"stat.TH"
] | It is shown that, if nu >= 1/2 then the generalized Marcum Q function Q_nu(a, b) is log-concave in 0<=b <infty. This proves a conjecture of Sun, Baricz and Zhou (2010). We also point out relevant results in the statistics literature. | {
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1105.5766 | On 2-step, corank 2 nilpotent sub-Riemannian metrics | [
"math.OC",
"cs.SY"
] | In this paper we study the nilpotent 2-step, corank 2 sub-Riemannian metrics that are nilpotent approximations of general sub-Riemannian metrics. We exhibit optimal syntheses for these problems. It turns out that in general the cut time is not equal to the first conjugate time but has a simple explicit expression. As a... | {
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1105.5782 | Grassmannian Predictive Coding for Limited Feedback in Multiple Antenna
Wireless Systems | [
"cs.IT",
"math.IT"
] | Limited feedback is a paradigm for the feedback of channel state information in wireless systems. In multiple antenna wireless systems, limited feedback usually entails quantizing a source that lives on the Grassmann manifold. Most work on limited feedback beamforming considered single-shot quantization. In wireless sy... | {
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1105.5789 | Clustering and Classification in Text Collections Using Graph Modularity | [
"cs.IR",
"cs.DL"
] | A new fast algorithm for clustering and classification of large collections of text documents is introduced. The new algorithm employs the bipartite graph that realizes the word-document matrix of the collection. Namely, the modularity of the bipartite graph is used as the optimization functional. Experiments performed... | {
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1105.5802 | Sequences of Inequalities among Differences of Gini Means and Divergence
Measures | [
"cs.IT",
"math.IT"
] | In 1938, Gini studied a mean having two parameters. Later, many authors studied properties of this mean. In particular, it contains the famous means as harmonic, geometric, arithmetic, etc. Here we considered a sequence of inequalities arising due to particular values of each parameter of Gini's mean. This sequence gen... | {
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1105.5839 | Intra-City Urban Network and Traffic Flow Analysis from GPS Mobility
Trace | [
"physics.soc-ph",
"cs.SI"
] | We analyse two large-scale intra-city urban networks and traffic flows therein measured by GPS traces of taxis in San Francisco and Shanghai. Our results coincide with previous findings that, based purely on topological means, it is often insufficient to characterise traffic flow. Traditional shortest-path betweenness ... | {
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1105.5849 | Diffusion in Networks With Overlapping Community Structure | [
"physics.soc-ph",
"cs.SI"
] | In this work we study diffusion in networks with community structure. We first replicate and extend work on networks with non-overlapping community structure. We then study diffusion on network models that have overlapping community structure. We study contagions in the standard SIR model, and complex contagions though... | {
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1105.5853 | Orthogonal Matching Pursuit: A Brownian Motion Analysis | [
"cs.IT",
"math.IT"
] | A well-known analysis of Tropp and Gilbert shows that orthogonal matching pursuit (OMP) can recover a k-sparse n-dimensional real vector from 4 k log(n) noise-free linear measurements obtained through a random Gaussian measurement matrix with a probability that approaches one as n approaches infinity. This work strengt... | {
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1105.5861 | Optimality of binary power-control in a single cell via majorization | [
"cs.IT",
"math.IT"
] | This paper considers the optimum single cell power-control maximizing the aggregate (uplink) communication rate of the cell when there are peak power constraints at mobile users, and a low-complexity data decoder (without successive decoding) at the base station. It is shown, via the theory of majorization, that the op... | {
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1105.5881 | On the random access performance of Cell Broadband Engine with graph
analysis application | [
"cs.CE",
"cs.PF"
] | The Cell Broad Engine (BE) Processor has unique memory access architecture besides its powerful computing engines. Many computing-intensive applications have been ported to Cell/BE successfully. But memory-intensive applications are rarely investigated except for several micro benchmarks. Since Cell/BE has powerful sof... | {
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1105.5887 | Efficient sampling of high-dimensional Gaussian fields: the
non-stationary / non-sparse case | [
"stat.CO",
"cs.LG",
"stat.AP"
] | This paper is devoted to the problem of sampling Gaussian fields in high dimension. Solutions exist for two specific structures of inverse covariance : sparse and circulant. The proposed approach is valid in a more general case and especially as it emerges in inverse problems. It relies on a perturbation-optimization p... | {
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1105.5895 | Percolation and Connectivity on the Signal to Interference Ratio Graph | [
"cs.IT",
"math.IT"
] | A wireless communication network is considered where any two nodes are connected if the signal-to-interference ratio (SIR) between them is greater than a threshold. Assuming that the nodes of the wireless network are distributed as a Poisson point process (PPP), percolation (unbounded connected cluster) on the resultin... | {
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1105.5900 | Ethane: A Heterogeneous Parallel Search Algorithm for Heterogeneous
Platforms | [
"cs.NE",
"cs.DC"
] | In this paper we present Ethane, a parallel search algorithm specifically designed for its execution on heterogeneous hardware environments. With Ethane we propose an algorithm inspired in the structure of the chemical compound of the same name, implementing a heterogeneous island model based in the structure of its ch... | {
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1105.5903 | Probabilistic Analysis of the Network Reliability Problem on a Random
Graph Ensemble | [
"cs.IT",
"cs.DM",
"math.IT"
] | In the field of computer science, the network reliability problem for evaluating the network failure probability has been extensively investigated. For a given undirected graph $G$, the network failure probability is the probability that edge failures (i.e., edge erasures) make $G$ unconnected. Edge failures are assume... | {
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1105.5912 | Need to categorize: A comparative look at the categories of the
Universal Decimal Classification system (UDC) and Wikipedia | [
"cs.DL",
"cs.IR",
"physics.soc-ph"
] | This study analyzes the differences between the category structure of the Universal Decimal Classification (UDC) system (which is one of the widely used library classification systems in Europe) and Wikipedia. In particular, we compare the emerging structure of category-links to the structure of classes in the UDC. Wit... | {
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1105.5939 | Airborne TDMA for High Throughput and Fast Weather Conditions
Notification | [
"cs.CE"
] | As air traffic grows significantly, aircraft accidents increase. Many aviation accidents could be prevented if the precise aircraft positions and weather conditions on the aircraft's route were known. Existing studies propose determining the precise aircraft positions via a VHF channel with an air-to-air radio relay sy... | {
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1105.5941 | Predicting the Structure of Alloys using Genetic Algorithms | [
"cond-mat.mtrl-sci",
"cs.NE",
"physics.comp-ph"
] | We discuss a novel genetic algorithm that can be used to find global minima on the potential energy surface of disordered ceramics and alloys using a real-space symmetry adapted crossover. Due to a high number of symmetrically equivalent solutions of many alloys a conventional genetic algorithms using reasonable popula... | {
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1105.5951 | Performance of Short-Commit in Extreme Database Environment | [
"cs.DB"
] | Atomic commit protocols are used where data integrity is more important than data availability. Two-Phase commit (2PC) is a standard commit protocol for commercial database management systems. To reduce certain drawbacks in 2PC protocol people have suggested different variance of this protocol. Short-Commit protocol is... | {
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1105.5975 | Multiple Access Channel with States Known Noncausally at One Encoder and
Only Strictly Causally at the Other Encoder | [
"cs.IT",
"math.IT"
] | We consider a two-user state-dependent multiaccess channel in which the states of the channel are known non-causally to one of the encoders and only strictly causally to the other encoder. Both encoders transmit a common message and, in addition, the encoder that knows the states non-causally transmits an individual me... | {
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1105.5981 | Modulation for MIMO Networks with Several Users | [
"cs.IT",
"math.IT"
] | In a recent work, a capacity-achieving scheme for the common-message two-user MIMO broadcast channel, based on single-stream coding and decoding, was described. This was obtained via a novel joint unitary triangularization which is applied to the corresponding channel matrices. In this work, the triangularization is ge... | {
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1105.5986 | A Modeling Framework for Gossip-based Information Spread | [
"cs.DC",
"cs.DM",
"cs.IT",
"cs.PF",
"math.IT"
] | We present an analytical framework for gossip protocols based on the pairwise information exchange between interacting nodes. This framework allows for studying the impact of protocol parameters on the performance of the protocol. Previously, gossip-based information dissemination protocols have been analyzed under the... | {
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1105.6001 | A Call to Arms: Revisiting Database Design | [
"cs.DB"
] | Good database design is crucial to obtain a sound, consistent database, and - in turn - good database design methodologies are the best way to achieve the right design. These methodologies are taught to most Computer Science undergraduates, as part of any Introduction to Database class. They can be considered part of t... | {
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1105.6009 | Noncoherent SIMO Pre-Log via Resolution of Singularities | [
"cs.IT",
"math.AG",
"math.IT"
] | We establish a lower bound on the noncoherent capacity pre-log of a temporally correlated Rayleigh block-fading single-input multiple-output (SIMO) channel. Our result holds for arbitrary rank Q of the channel correlation matrix, arbitrary block-length L > Q, and arbitrary number of receive antennas R, and includes the... | {
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1105.6010 | Synchronous Control of Reconfiguration in Fractal Component-based
Systems -- a Case Study | [
"cs.SE",
"cs.SY"
] | In the context of component-based embedded systems, the management of dynamic reconfiguration in adaptive systems is an increasingly important feature. The Fractal component-based framework, and its industrial instantiation MIND, provide for support for control operations in the lifecycle of components. Nevertheless, t... | {
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1105.6014 | Neural Networks for Emotion Classification | [
"cs.CV"
] | It is argued that for the computer to be able to interact with humans, it needs to have the communication skills of humans. One of these skills is the ability to understand the emotional state of the person. This thesis describes a neural network-based approach for emotion classification. We learn a classifier that can... | {
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1105.6033 | A New Outer-Bound via Interference Localization and the Degrees of
Freedom Regions of MIMO Interference Networks with no CSIT | [
"cs.IT",
"math.IT"
] | The two-user multi-input, multi-output (MIMO) interference and cognitive radio channels are studied under the assumption of no channel state information at the transmitter (CSIT) from the degrees of freedom (DoF) region perspective. With $M_i$ and $N_i$ denoting the number of antennas at transmitter $i$ and receiver $i... | {
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1105.6041 | The Perceptron with Dynamic Margin | [
"cs.LG"
] | The classical perceptron rule provides a varying upper bound on the maximum margin, namely the length of the current weight vector divided by the total number of updates up to that time. Requiring that the perceptron updates its internal state whenever the normalized margin of a pattern is found not to exceed a certain... | {
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1105.6060 | Alignment of Microtubule Imagery | [
"cs.CV"
] | This work discusses preliminary work aimed at simulating and visualizing the growth process of a tiny structure inside the cell---the microtubule. Difficulty of recording the process lies in the fact that the tissue preparation method for electronic microscopes is highly destructive to live cells. Here in this paper, o... | {
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1105.6061 | Distributed Detection/Isolation Procedures for Quickest Event Detection
in Large Extent Wireless Sensor Networks | [
"stat.AP",
"cs.IT",
"cs.NI",
"math.IT"
] | We study a problem of distributed detection of a stationary point event in a large extent wireless sensor network ($\wsn$), where the event influences the observations of the sensors only in the vicinity of where it occurs. An event occurs at an unknown time and at a random location in the coverage region (or region of... | {
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} |
1105.6084 | RASID: A Robust WLAN Device-free Passive Motion Detection System | [
"cs.NI",
"cs.CV"
] | WLAN Device-free passive DfP indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed wireless infrastructure. This technology is useful for a variety of applications such as intrusi... | {
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1105.6115 | On the Capacity of Multiplicative Finite-Field Matrix Channels | [
"cs.IT",
"math.IT"
] | This paper deals with the multiplicative finite-field matrix channel, a discrete memoryless channel whose input and output are matrices (over a finite field) related by a multiplicative transfer matrix. The model considered here assumes that all transfer matrices with the same rank are equiprobable, so that the channel... | {
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} |
1105.6118 | Mapping Relational Operations onto Hypergraph Model | [
"cs.DB",
"cs.PL"
] | The relational model is the most commonly used data model for storing large datasets, perhaps due to the simplicity of the tabular format which had revolutionized database management systems. However, many real world objects are recursive and associative in nature which makes storage in the relational model difficult. ... | {
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} |
1105.6120 | Distributed Spectrum Sensing with Sequential Ordered Transmissions to a
Cognitive Fusion Center | [
"cs.IT",
"math.IT"
] | Cooperative spectrum sensing is a robust strategy that enhances the detection probability of primary licensed users. However, a large number of detectors reporting to a fusion center for a final decision causes significant delay and also presumes the availability of unreasonable communication resources at the disposal ... | {
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} |
1105.6124 | Reasoning on Interval and Point-based Disjunctive Metric Constraints in
Temporal Contexts | [
"cs.AI"
] | We introduce a temporal model for reasoning on disjunctive metric constraints on intervals and time points in temporal contexts. This temporal model is composed of a labeled temporal algebra and its reasoning algorithms. The labeled temporal algebra defines labeled disjunctive metric point-based constraints, where each... | {
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1105.6148 | Overcoming Misleads In Logic Programs by Redefining Negation | [
"cs.AI"
] | Negation as failure and incomplete information in logic programs have been studied by many researchers In order to explains HOW a negated conclusion was reached, we introduce and proof a different way for negating facts to overcoming misleads in logic programs. Negating facts can be achieved by asking the user for cons... | {
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} |
1105.6150 | A Strictly Improved Achievable Region for Multiple Descriptions Using
Combinatorial Message Sharing | [
"cs.IT",
"math.IT"
] | We recently proposed a new coding scheme for the L-channel multiple descriptions (MD) problem for general sources and distortion measures involving `Combinatorial Message Sharing' (CMS) [7] leading to a new achievable rate-distortion region. Our objective in this paper is to establish that this coding scheme strictly s... | {
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} |
1105.6162 | A statistical learning algorithm for word segmentation | [
"cs.CL"
] | In natural speech, the speaker does not pause between words, yet a human listener somehow perceives this continuous stream of phonemes as a series of distinct words. The detection of boundaries between spoken words is an instance of a general capability of the human neocortex to remember and to recognize recurring sequ... | {
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} |
1105.6163 | Assisted Common Information: Further Results | [
"cs.IT",
"cs.CR",
"math.IT"
] | We presented assisted common information as a generalization of G\'acs-K\"orner (GK) common information at ISIT 2010. The motivation for our formulation was to improve upperbounds on the efficiency of protocols for secure two-party sampling (which is a form of secure multi-party computation). Our upperbound was based o... | {
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} |
1105.6164 | How to Construct Polar Codes | [
"cs.IT",
"math.IT"
] | A method for efficiently constructing polar codes is presented and analyzed. Although polar codes are explicitly defined, straightforward construction is intractable since the resulting polar bit-channels have an output alphabet that grows exponentially with he code length. Thus the core problem that needs to be solved... | {
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} |
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