id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
0708.3699 | Convolutional Entanglement Distillation | [
"quant-ph",
"cs.IT",
"math.IT"
] | We develop a theory of entanglement distillation that exploits a convolutional coding structure. We provide a method for converting an arbitrary classical binary or quaternary convolutional code into a convolutional entanglement distillation protocol. The imported classical convolutional code does not have to be dual-c... | {
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0708.3723 | Parametric Stiffness Analysis of the Orthoglide | [
"cs.RO"
] | This paper presents a parametric stiffness analysis of the Orthoglide, a 3-DOF translational Parallel Kinematic Machine. First, a compliant modeling of the Orthoglide is conducted based on an existing method. Then stiffness matrix is symbolically computed. This allows one to easily study the influence of the geometric ... | {
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0708.3761 | Multi-agent systems, Equiprobability, Gamma distributions and other
Geometrical questions | [
"nlin.CD",
"cond-mat.stat-mech",
"cs.MA",
"physics.soc-ph"
] | A set of many identical interacting agents obeying a global additive constraint is considered. Under the hypothesis of equiprobability in the high-dimensional volume delimited in phase space by the constraint, the statistical behavior of a generic agent over the ensemble is worked out. The asymptotic distribution of th... | {
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0708.3764 | A Radio Resource Management strategy for downlink cooperation in
distributed networks | [
"cs.IT",
"math.IT"
] | This paper has been withdrawn by the author | {
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0708.3809 | Design Strategies for the Geometric Synthesis of Orthoglide-type
Mechanisms | [
"cs.RO"
] | The paper addresses the geometric synthesis of Orthoglide-type mechanism, a family of 3-DOF parallel manipulators for rapid machining applications, which combine advantages of both serial mechanisms and parallel kinematic architectures. These manipulators possess quasi-isotropic kinematic performances and are made up o... | {
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0708.3811 | An Exhaustive Study of the Workspaces Tolopogies of all 3R Orthogonal
Manipulators with Geometric Simplifications | [
"cs.RO"
] | This paper proposes a classification of three-revolute orthogonal manipulators that have at least one of their DH parameters equal to zero. This classification is based on the topology of their workspace. The workspace is characterized in a half-cross section by the singular curves. The workspace topology is defined by... | {
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0708.3829 | A Non Parametric Model for the Forecasting of the Venezuelan Oil Prices | [
"cs.CE",
"cs.NE"
] | A neural net model for forecasting the prices of Venezuelan crude oil is proposed. The inputs of the neural net are selected by reference to a dynamic system model of oil prices by Mashayekhi (1995, 2001) and its performance is evaluated using two criteria: the Excess Profitability test by Anatoliev and Gerko (2005) an... | {
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0708.3896 | The Isoconditioning Loci of Planar Three-DOF Parallel Manipulators | [
"cs.RO"
] | The subject of this paper is a special class of three-degree-of-freedom parallel manipulators. The singular configurations of the two Jacobian matrices are first studied. The isotropic configurations are then found based on the characteristic length of this manipulator. The isoconditioning loci for the Jacobian matrice... | {
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0708.3900 | Inference from correlated patterns: a unified theory for perceptron
learning and linear vector channels | [
"cs.IT",
"cond-mat.dis-nn",
"math.IT"
] | A framework to analyze inference performance in densely connected single-layer feed-forward networks is developed for situations where a given data set is composed of correlated patterns. The framework is based on the assumption that the left and right singular value bases of the given pattern matrix are generated inde... | {
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0708.3920 | Kinematic analysis of the 3-RPR parallel manipulator | [
"cs.RO"
] | The aim of this paper is the kinematic study of a 3-RPR planar parallel manipulator where the three fixed revolute joints are actuated. The direct and inverse kinematic problem as well as the singular configuration is characterized. On parallel singular configurations, the motion produce by the mobile platform can be c... | {
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0708.3936 | Working and Assembly Modes of the Agile Eye | [
"cs.RO"
] | This paper deals with the in-depth kinematic analysis of a special spherical parallel wrist, called the Agile Eye. The Agile Eye is a three-legged spherical parallel robot with revolute joints in which all pairs of adjacent joint axes are orthogonal. Its most peculiar feature, demonstrated in this paper for the first t... | {
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0708.4149 | On the complexity of nonnegative matrix factorization | [
"cs.NA",
"cs.IR"
] | Nonnegative matrix factorization (NMF) has become a prominent technique for the analysis of image databases, text databases and other information retrieval and clustering applications. In this report, we define an exact version of NMF. Then we establish several results about exact NMF: (1) that it is equivalent to a pr... | {
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0708.4155 | Coexistence of Social Norms based on In- and Out-group Interactions | [
"nlin.AO",
"cs.MA",
"physics.soc-ph"
] | The question how social norms can emerge from microscopic interactions between individuals is a key problem in social sciences to explain collective behavior. In this paper we propose an agent-based model to show that randomly distributed social behavior by way of local interaction converges to a state with a multimoda... | {
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0708.4164 | Asymptotic improvement of the Gilbert-Varshamov bound for linear codes | [
"cs.IT",
"math.IT"
] | The Gilbert-Varshamov bound states that the maximum size A_2(n,d) of a binary code of length n and minimum distance d satisfies A_2(n,d) >= 2^n/V(n,d-1) where V(n,d) stands for the volume of a Hamming ball of radius d. Recently Jiang and Vardy showed that for binary non-linear codes this bound can be improved to A_2(n,... | {
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0708.4170 | Raising a Hardness Result | [
"cs.AI",
"cs.CC",
"cs.LO"
] | This article presents a technique for proving problems hard for classes of the polynomial hierarchy or for PSPACE. The rationale of this technique is that some problem restrictions are able to simulate existential or universal quantifiers. If this is the case, reductions from Quantified Boolean Formulae (QBF) to these ... | {
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0708.4214 | High Rate Single-Symbol Decodable Precoded DSTBCs for Cooperative
Networks | [
"cs.IT",
"math.IT"
] | Distributed Orthogonal Space-Time Block Codes (DOSTBCs) achieving full diversity order and single-symbol ML decodability have been introduced recently for cooperative networks and an upper-bound on the maximal rate of such codes along with code constructions has been presented. In this report, we introduce a new class ... | {
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0708.4219 | Secure Transmission with Multiple Antennas: The MISOME Wiretap Channel | [
"cs.IT",
"math.IT"
] | The role of multiple antennas for secure communication is investigated within the framework of Wyner's wiretap channel. We characterize the secrecy capacity in terms of generalized eigenvalues when the sender and eavesdropper have multiple antennas, the intended receiver has a single antenna, and the channel matrices a... | {
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0708.4311 | 2006: Celebrating 75 years of AI - History and Outlook: the Next 25
Years | [
"cs.AI"
] | When Kurt Goedel layed the foundations of theoretical computer science in 1931, he also introduced essential concepts of the theory of Artificial Intelligence (AI). Although much of subsequent AI research has focused on heuristics, which still play a major role in many practical AI applications, in the new millennium A... | {
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0708.4324 | Sensitivity Analysis of the Orthoglide, a 3-DOF Translational Parallel
Kinematic Machine | [
"cs.RO"
] | This paper presents a sensitivity analysis of the Orthoglide, a 3-DOF translational Parallel Kinematic Machine. Two complementary methods are developed to analyze its sensitivity to its dimensional and angular variations. First, a linkage kinematic analysis method is used to have a rough idea of the influence of the di... | {
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0708.4328 | Dualities Between Entropy Functions and Network Codes | [
"cs.IT",
"math.IT"
] | This paper provides a new duality between entropy functions and network codes. Given a function $g\geq 0$ defined on all proper subsets of $N$ random variables, we provide a construction for a network multicast problem which is solvable if and only if $g$ is entropic. The underlying network topology is fixed and the mu... | {
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0708.4407 | Algebraic Distributed Differential Space-Time Codes with Low Decoding
Complexity | [
"cs.IT",
"cs.DM",
"math.IT",
"math.RA"
] | The differential encoding/decoding setup introduced by Kiran et al, Oggier-Hassibi and Jing-Jafarkhani for wireless relay networks that use codebooks consisting of unitary matrices is extended to allow codebooks consisting of scaled unitary matrices. For such codebooks to be usable in the Jing-Hassibi protocol for coop... | {
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0709.0035 | On The Limitations of The Naive Lattice Decoding | [
"cs.IT",
"math.IT"
] | In this paper, the inherent drawbacks of the naive lattice decoding for MIMO fading systems is investigated. We show that using the naive lattice decoding for MIMO systems has considerable deficiencies in terms of the rate-diversity trade-off. Unlike the case of maximum-likelihood decoding, in this case, even the perfe... | {
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0709.0116 | On Ultrametric Algorithmic Information | [
"cs.AI",
"cs.CL"
] | How best to quantify the information of an object, whether natural or artifact, is a problem of wide interest. A related problem is the computability of an object. We present practical examples of a new way to address this problem. By giving an appropriate representation to our objects, based on a hierarchical coding o... | {
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0709.0124 | High Rate Single-Symbol ML Decodable Precoded DSTBCs for Cooperative
Networks | [
"cs.IT",
"math.IT"
] | Distributed Orthogonal Space-Time Block Codes (DOSTBCs) achieving full diversity order and single-symbol ML decodability have been introduced recently by Yi and Kim for cooperative networks and an upperbound on the maximal rate of such codes along with code constructions has been presented. In this paper, we introduce ... | {
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0709.0145 | Estimating Random Variables from Random Sparse Observations | [
"cs.IT",
"math.IT",
"math.PR"
] | Let X_1,...., X_n be a collection of iid discrete random variables, and Y_1,..., Y_m a set of noisy observations of such variables. Assume each observation Y_a to be a random function of some a random subset of the X_i's, and consider the conditional distribution of X_i given the observations, namely \mu_i(x_i)\equiv\p... | {
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0709.0178 | Effective Generation of Subjectively Random Binary Sequences | [
"cs.HC",
"cs.AI"
] | We present an algorithm for effectively generating binary sequences which would be rated by people as highly likely to have been generated by a random process, such as flipping a fair coin. | {
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0709.0218 | Inferring Neuronal Network Connectivity using Time-constrained Episodes | [
"cs.DB",
"q-bio.NC"
] | Discovering frequent episodes in event sequences is an interesting data mining task. In this paper, we argue that this framework is very effective for analyzing multi-neuronal spike train data. Analyzing spike train data is an important problem in neuroscience though there are no data mining approaches reported for thi... | {
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0709.0259 | Spectrum Sensing in Wideband OFDM Cognitive Radios | [
"cs.IT",
"math.IT"
] | In this paper, detection of the primary user (PU) signal in an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) system is addressed. According to the prior knowledge of the PU signal known to the detector, three detection algorithms based on the Neyman-Pearson philosophy are proposed. In the... | {
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0709.0355 | Solution of moving-boundary problems by the spectral element method | [
"cs.CE",
"cs.NA"
] | This paper describes a novel numerical model aiming at solving moving-boundary problems such as free-surface flows or fluid-structure interaction. This model uses a moving-grid technique to solve the Navier--Stokes equations expressed in the arbitrary Lagrangian--Eulerian kinematics. The discretization in space is base... | {
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0709.0409 | A DH-parameter based condition for 3R orthogonal manipulators to have 4
distinct inverse kinematic solutions | [
"cs.RO"
] | Positioning 3R manipulators may have two or four inverse kinematic solutions (IKS). This paper derives a necessary and sufficient condition for 3R positioning manipulators with orthogonal joint axes to have four distinct IKS. We show that the transition between manipulators with 2 and 4 IKS is defined by the set of man... | {
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0709.0509 | Filtering Additive Measurement Noise with Maximum Entropy in the Mean | [
"cs.LG"
] | The purpose of this note is to show how the method of maximum entropy in the mean (MEM) may be used to improve parametric estimation when the measurements are corrupted by large level of noise. The method is developed in the context on a concrete example: that of estimation of the parameter in an exponential distributi... | {
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0709.0518 | Rate Regions for the Partially-Cooperative Relay Broadcast Channel with
Non-causal Side Information | [
"cs.IT",
"math.IT"
] | In this work, we consider a partially cooperative relay broadcast channel (PC-RBC) controlled by random parameters. We provide rate regions for two different situations: 1) when side information (SI) S^n on the random parameters is non-causally known at both the source and the relay and, 2) when side information S^n is... | {
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0709.0522 | Qualitative Belief Conditioning Rules (QBCR) | [
"cs.AI"
] | In this paper we extend the new family of (quantitative) Belief Conditioning Rules (BCR) recently developed in the Dezert-Smarandache Theory (DSmT) to their qualitative counterpart for belief revision. Since the revision of quantitative as well as qualitative belief assignment given the occurrence of a new event (the c... | {
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0709.0566 | Discovering Patterns in Multi-neuronal Spike Trains using the Frequent
Episode Method | [
"cs.DB",
"q-bio.NC"
] | Discovering the 'Neural Code' from multi-neuronal spike trains is an important task in neuroscience. For such an analysis, it is important to unearth interesting regularities in the spiking patterns. In this report, we present an efficient method for automatically discovering synchrony, synfire chains, and more general... | {
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0709.0599 | On Universal Properties of Capacity-Approaching LDPC Ensembles | [
"cs.IT",
"math.IT"
] | This paper is focused on the derivation of some universal properties of capacity-approaching low-density parity-check (LDPC) code ensembles whose transmission takes place over memoryless binary-input output-symmetric (MBIOS) channels. Properties of the degree distributions, graphical complexity and the number of fundam... | {
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0709.0670 | Using Data Compressors to Construct Rank Tests | [
"cs.DS",
"cs.IT",
"math.IT"
] | Nonparametric rank tests for homogeneity and component independence are proposed, which are based on data compressors. For homogeneity testing the idea is to compress the binary string obtained by ordering the two joint samples and writing 0 if the element is from the first sample and 1 if it is from the second sample ... | {
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0709.0674 | Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective
Attention, Curiosity & Creativity | [
"cs.AI",
"cs.GR"
] | I postulate that human or other intelligent agents function or should function as follows. They store all sensory observations as they come - the data is holy. At any time, given some agent's current coding capabilities, part of the data is compressible by a short and hopefully fast program / description / explanation ... | {
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0709.0680 | Designing a Virtual Manikin Animation Framework Aimed at Virtual
Prototyping | [
"cs.RO"
] | In the industry, numerous commercial packages provide tools to introduce, and analyse human behaviour in the product's environment (for maintenance, ergonomics...), thanks to Virtual Humans. We will focus on control. Thanks to algorithms newly introduced in recent research papers, we think we can provide an implementat... | {
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0709.0787 | Sound Generation by a Turbulent Flow in Musical Instruments -
Multiphysics Simulation Approach - | [
"physics.comp-ph",
"cs.CE",
"physics.flu-dyn"
] | Total computational costs of scientific simulations are analyzed between direct numerical simulations (DNS) and multiphysics simulations (MPS) for sound generation in musical instruments. In order to produce acoustic sound by a turbulent flow in a simple recorder-like instrument, compressible fluid dynamic calculations... | {
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0709.0883 | Liquid State Machines in Adbiatic Quantum Computers for General
Computation | [
"cs.CC",
"cs.NE"
] | Major mistakes do not read | {
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0709.0907 | Computability of probability measures and Martin-Lof randomness over
metric spaces | [
"cs.IT",
"math.IT"
] | In this paper we investigate algorithmic randomness on more general spaces than the Cantor space, namely computable metric spaces. To do this, we first develop a unified framework allowing computations with probability measures. We show that any computable metric space with a computable probability measure is isomorphi... | {
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0709.0993 | The Description of Information in 4-Dimensional Pseudo-Euclidean
Information Space | [
"cs.IT",
"math.IT",
"nlin.AO",
"physics.soc-ph"
] | This article is presented new method of description information systems in abstract 4-dimensional pseudo-Euclidean information space (4-DPIES) with using special relativity (SR) methods. This purpose core postulates of existence 4-DPIES are formulated. The theorem setting existence criteria of the invariant velocity of... | {
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0709.1074 | Johnson Type Bounds on Constant Dimension Codes | [
"cs.IT",
"math.IT"
] | Very recently, an operator channel was defined by Koetter and Kschischang when they studied random network coding. They also introduced constant dimension codes and demonstrated that these codes can be employed to correct errors and/or erasures over the operator channel. Constant dimension codes are equivalent to the s... | {
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0709.1099 | Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise
Vehicle Localization and Road Matching | [
"cs.AI",
"cs.RO"
] | This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems. Managing multihypotheses is a useful strategy for the road-matching problem. The multi-sensor fusion and multi-modal estimation are realized... | {
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0709.1166 | An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation | [
"cs.DB"
] | Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting a sequence in up to K segments. We want segments to be as monotonic as possible and to alternate signs. We propose a quality metric for this problem using the l_inf norm, and we present an optimal linear time algo... | {
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0709.1167 | Using RDF to Model the Structure and Process of Systems | [
"cs.AI"
] | Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph consisting of a heterogeneous set of entities connected by a heterogeneous set of relationships. Semantic networks serve as... | {
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0709.1190 | Belief-Propagation for Weighted b-Matchings on Arbitrary Graphs and its
Relation to Linear Programs with Integer Solutions | [
"cs.IT",
"cs.AI",
"math.IT"
] | We consider the general problem of finding the minimum weight $\bm$-matching on arbitrary graphs. We prove that, whenever the linear programming (LP) relaxation of the problem has no fractional solutions, then the belief propagation (BP) algorithm converges to the correct solution. We also show that when the LP relaxat... | {
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0709.1211 | Likelihood ratios and Bayesian inference for Poisson channels | [
"cs.IT",
"math.IT",
"math.ST",
"stat.TH"
] | In recent years, infinite-dimensional methods have been introduced for the Gaussian channels estimation. The aim of this paper is to study the application of similar methods to Poisson channels. In particular we compute the Bayesian estimator of a Poisson channel using the likelihood ratio and the discrete Malliavin gr... | {
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0709.1227 | Efficient Algorithms for Node Disjoint Subgraph Homeomorphism
Determination | [
"cs.DS",
"cs.DB"
] | Recently, great efforts have been dedicated to researches on the management of large scale graph based data such as WWW, social networks, biological networks. In the study of graph based data management, node disjoint subgraph homeomorphism relation between graphs is more suitable than (sub)graph isomorphism in many ca... | {
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} |
0709.1441 | Information-theoretic analysis of MIMO channel sounding | [
"cs.IT",
"math.IT"
] | The large majority of commercially available multiple-input multiple-output (MIMO) radio channel measurement devices (sounders) is based on time-division multiplexed switching (TDMS) of a single transmit/receive radio-frequency chain into the elements of a transmit/receive antenna array. While being cost-effective, suc... | {
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0709.1516 | On Universal Prediction and Bayesian Confirmation | [
"math.ST",
"cs.IT",
"cs.LG",
"math.IT",
"stat.ML",
"stat.TH"
] | The Bayesian framework is a well-studied and successful framework for inductive reasoning, which includes hypothesis testing and confirmation, parameter estimation, sequence prediction, classification, and regression. But standard statistical guidelines for choosing the model class and prior are not always available or... | {
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0709.1667 | Solving Constraint Satisfaction Problems through Belief
Propagation-guided decimation | [
"cs.AI",
"cond-mat.dis-nn",
"cond-mat.stat-mech",
"cs.CC"
] | Message passing algorithms have proved surprisingly successful in solving hard constraint satisfaction problems on sparse random graphs. In such applications, variables are fixed sequentially to satisfy the constraints. Message passing is run after each step. Its outcome provides an heuristic to make choices at next st... | {
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} |
0709.1674 | Matrix-Lifting Semi-Definite Programming for Decoding in Multiple
Antenna Systems | [
"cs.IT",
"math.IT"
] | This paper presents a computationally efficient decoder for multiple antenna systems. The proposed algorithm can be used for any constellation (QAM or PSK) and any labeling method. The decoder is based on matrix-lifting Semi-Definite Programming (SDP). The strength of the proposed method lies in a new relaxation algori... | {
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0709.1699 | Efficient Tabling Mechanisms for Transaction Logic Programs | [
"cs.LO",
"cs.AI"
] | In this paper we present efficient evaluation algorithms for the Horn Transaction Logic (a generalization of the regular Horn logic programs with state updates). We present two complementary methods for optimizing the implementation of Transaction Logic. The first method is based on tabling and we modified the proof th... | {
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0709.1701 | Enrichment of Qualitative Beliefs for Reasoning under Uncertainty | [
"cs.AI"
] | This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels. In this work, two possible enrichments (quantitative and/or qualitative) of linguistic labels are considered and operators (addition, multipl... | {
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0709.1744 | Experiments with small helicopter automated landings at unusual
attitudes | [
"cs.RO"
] | This paper describes a set of experiments involving small helicopters landing automated landing at unusual attitudes. By leveraging the increased agility of small air vehicles, we show that it is possible to automatically land a small helicopter on surfaces pitched at angles up to 60 degrees. Such maneuvers require con... | {
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0709.1771 | Variational local structure estimation for image super-resolution | [
"cs.CV"
] | Super-resolution is an important but difficult problem in image/video processing. If a video sequence or some training set other than the given low-resolution image is available, this kind of extra information can greatly aid in the reconstruction of the high-resolution image. The problem is substantially more difficul... | {
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0709.1920 | Bandwidth selection for kernel estimation in mixed multi-dimensional
spaces | [
"cs.CV"
] | Kernel estimation techniques, such as mean shift, suffer from one major drawback: the kernel bandwidth selection. The bandwidth can be fixed for all the data set or can vary at each points. Automatic bandwidth selection becomes a real challenge in case of multidimensional heterogeneous features. This paper presents a s... | {
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0709.2065 | Toward Psycho-robots | [
"cs.AI"
] | We try to perform geometrization of psychology by representing mental states, <<ideas>>, by points of a metric space, <<mental space>>. Evolution of ideas is described by dynamical systems in metric mental space. We apply the mental space approach for modeling of flows of unconscious and conscious information in the hu... | {
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0709.2225 | Improved Linear Parallel Interference Cancellers | [
"cs.IT",
"cs.SC",
"cs.SD",
"cs.SE",
"math.IT"
] | In this paper, taking the view that a linear parallel interference canceller (LPIC) can be seen as a linear matrix filter, we propose new linear matrix filters that can result in improved bit error performance compared to other LPICs in the literature. The motivation for the proposed filters arises from the possibility... | {
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0709.2330 | Queueing for ergodic arrivals and services | [
"math.PR",
"cs.IT",
"math.IT"
] | In this paper we revisit the results of Loynes (1962) on stability of queues for ergodic arrivals and services, and show examples when the arrivals are bounded and ergodic, the service rate is constant, and under stability the limit distribution has larger than exponential tail. | {
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0709.2346 | Pushdown Compression | [
"cs.IT",
"cs.CC",
"math.IT"
] | The pressing need for eficient compression schemes for XML documents has recently been focused on stack computation [6, 9], and in particular calls for a formulation of information-lossless stack or pushdown compressors that allows a formal analysis of their performance and a more ambitious use of the stack in XML comp... | {
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0709.2401 | Bootstrapping Deep Lexical Resources: Resources for Courses | [
"cs.CL"
] | We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a seed lexicon. The different methods are deployed in learning lexical items for a precision grammar, and shown to each have strengths and weak... | {
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0709.2410 | Distributed Decision Through Self-Synchronizing Sensor Networks in the
Presence of Propagation Delays and Asymmetric Channels | [
"cs.MA",
"cs.DC"
] | In this paper we propose and analyze a distributed algorithm for achieving globally optimal decisions, either estimation or detection, through a self-synchronization mechanism among linearly coupled integrators initialized with local measurements. We model the interaction among the nodes as a directed graph with weight... | {
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0709.2445 | A Simple Characterization of Strategic Behaviors in Broadcast Channels | [
"cs.IT",
"cs.GT",
"math.IT"
] | In this paper, we consider the problem of resource allocation among two competing users sharing a binary symmetric broadcast channel. We model the interaction between autonomous selfish users in the resource allocation and analyze their strategic behavior in manipulating the allocation outcome. We analytically show tha... | {
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0709.2446 | Learning for Dynamic Bidding in Cognitive Radio Resources | [
"cs.LG",
"cs.GT"
] | In this paper, we model the various wireless users in a cognitive radio network as a collection of selfish, autonomous agents that strategically interact in order to acquire the dynamically available spectrum opportunities. Our main focus is on developing solutions for wireless users to successfully compete with each o... | {
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0709.2506 | Autoencoder, Principal Component Analysis and Support Vector Regression
for Data Imputation | [
"cs.AI",
"cs.DB"
] | Data collection often results in records that have missing values or variables. This investigation compares 3 different data imputation models and identifies their merits by using accuracy measures. Autoencoder Neural Networks, Principal components and Support Vector regression are used for prediction and combined with... | {
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0709.2562 | When are recommender systems useful? | [
"cs.IR",
"cs.CY",
"cs.DL",
"cs.DS",
"physics.data-an",
"physics.soc-ph"
] | Recommender systems are crucial tools to overcome the information overload brought about by the Internet. Rigorous tests are needed to establish to what extent sophisticated methods can improve the quality of the predictions. Here we analyse a refined correlation-based collaborative filtering algorithm and compare it w... | {
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0709.2598 | On the 3/4-Conjecture for Fix-Free Codes -- A Survey | [
"cs.IT",
"math.CO",
"math.IT"
] | In this survey we concern ourself with the question, wether there exists a fix-free code for a given sequence of codeword lengths. For a given alphabet, we obtain the {\em Kraftsum} of a code, if we divide for every length the number of codewords of this length in the code by the total number of all possible words of t... | {
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0709.2813 | LDPC codes from Singer cycles | [
"cs.IT",
"math.IT"
] | The main goal of coding theory is to devise efficient systems to exploit the full capacity of a communication channel, thus achieving an arbitrarily small error probability. Low Density Parity Check (LDPC) codes are a family of block codes--characterised by admitting a sparse parity check matrix--with good correction c... | {
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0709.2833 | Distributed Space Time Codes with Low Decoding Complexity for
Asynchronous Relay Networks | [
"cs.IT",
"math.IT"
] | Recently Li and Xia have proposed a transmission scheme for wireless relay networks based on the Alamouti space time code and orthogonal frequency division multiplexing to combat the effect of timing errors at the relay nodes. This transmission scheme is amazingly simple and achieves a diversity order of two for any nu... | {
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0709.2851 | Joint power control and user scheduling in multicell wireless networks:
Capacity scaling laws | [
"cs.IT",
"math.IT"
] | We address the optimization of the sum rate performance in multicell interference-limited singlehop networks where access points are allowed to cooperate in terms of joint resource allocation. The resource allocation policies considered here combine power control and user scheduling. Although very promising from a conc... | {
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0709.3013 | Supervised learning on graphs of spatio-temporal similarity in satellite
image sequences | [
"cs.CV"
] | High resolution satellite image sequences are multidimensional signals composed of spatio-temporal patterns associated to numerous and various phenomena. Bayesian methods have been previously proposed in (Heas and Datcu, 2005) to code the information contained in satellite image sequences in a graph representation usin... | {
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0709.3034 | Query Evaluation in P2P Systems of Taxonomy-based Sources: Algorithms,
Complexity, and Optimizations | [
"cs.DB",
"cs.DC",
"cs.DS",
"cs.LO"
] | In this study, we address the problem of answering queries over a peer-to-peer system of taxonomy-based sources. A taxonomy states subsumption relationships between negation-free DNF formulas on terms and negation-free conjunctions of terms. To the end of laying the foundations of our study, we first consider the centr... | {
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0709.3262 | A software for learning Information Theory basics with emphasis on
Entropy of Spanish | [
"cs.IT",
"math.IT"
] | In this paper, a tutorial software to learn Information Theory basics in a practical way is reported. The software, called IT-tutor-UV, makes use of a modern existing Spanish corpus for the modeling of the source. Both the source and the channel coding are also included in this educational tool as part of the learning ... | {
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0709.3427 | Mutual information for the selection of relevant variables in
spectrometric nonlinear modelling | [
"cs.LG",
"cs.NE",
"stat.AP"
] | Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of variables than the initial one. Indeed, a too large number of input variables to a model results in a too large number of parameters, leadin... | {
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0709.3461 | Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps | [
"cs.NE",
"cs.LG"
] | In many real world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable sensible comparison between observations. Kohonen's Self-Organizing Map (SOM) has been adapted to data described only through their dissimilarity... | {
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0709.3541 | Towards the Secrecy Capacity of the Gaussian MIMO Wire-tap Channel: The
2-2-1 Channel | [
"cs.IT",
"math.IT"
] | We find the secrecy capacity of the 2-2-1 Gaussian MIMO wire-tap channel, which consists of a transmitter and a receiver with two antennas each, and an eavesdropper with a single antenna. We determine the secrecy capacity of this channel by proposing an achievable scheme and then developing a tight upper bound that mee... | {
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0709.3586 | Une adaptation des cartes auto-organisatrices pour des donn\'ees
d\'ecrites par un tableau de dissimilarit\'es | [
"cs.NE",
"cs.LG"
] | Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in such a format. Vector based data analysis methods have therefore to be adapted in order to be used with non standard complex data. A flexib... | {
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0709.3587 | Self-organizing maps and symbolic data | [
"cs.NE",
"cs.LG"
] | In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data, ...). In this context classical data analysis for knowledge discovery based on calculating the center of gravity can not be used because input are not $\math... | {
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0709.3600 | Cooperative Multiplexing in a Half Duplex Relay Network: Performance and
Constraints | [
"cs.IT",
"math.IT"
] | Previous work on relay networks has concentrated primarily on the diversity benefits of such techniques. This paper explores the possibility of also obtaining multiplexing gain in a relay network, while retaining diversity gain. Specifically, consider a network in which a single source node is equipped with one antenna... | {
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0709.3639 | Fast Selection of Spectral Variables with B-Spline Compression | [
"cs.LG",
"stat.AP"
] | The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables hopefully can be reduced, by using either projection techniques or selection methods; the latter allow for the interpretation of the selected... | {
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0709.3640 | Resampling methods for parameter-free and robust feature selection with
mutual information | [
"cs.LG",
"stat.AP"
] | Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time. However, it requires to set the parameter(s) of the mutual information estimator and to determine when to halt the forward procedure. These... | {
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0709.3641 | Representation of Functional Data in Neural Networks | [
"cs.NE"
] | Functional Data Analysis (FDA) is an extension of traditional data analysis to functional data, for example spectra, temporal series, spatio-temporal images, gesture recognition data, etc. Functional data are rarely known in practice; usually a regular or irregular sampling is known. For this reason, some processing is... | {
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0709.3642 | Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data
Analysis | [
"cs.NE"
] | In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional MLP. We obtain universal approximation results that show the expressive power of functional MLP is comparable to that of numerical MLP. We o... | {
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0709.3753 | On Real-Time Communication Systems with Noisy Feedback | [
"cs.IT",
"cs.MA",
"math.IT",
"math.OC",
"math.PR"
] | We consider a real-time communication system with noisy feedback consisting of a Markov source, a forward and a backward discrete memoryless channels, and a receiver with finite memory. The objective is to design an optimal communication strategy (that is, encoding, decoding, and memory update strategies) to minimize t... | {
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0709.3827 | On Successive Refinement of Diversity for Fading ISI Channels | [
"cs.IT",
"math.IT"
] | Rate and diversity impose a fundamental tradeoff in communications. This tradeoff was investigated for Intersymbol Interference (ISI) channels in [4]. A different point of view was explored in [1] where high-rate codes were designed so that they have a high-diversity code embedded within them. Such diversity embedded c... | {
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0709.3915 | Guessing Facets: Polytope Structure and Improved LP Decoding | [
"cs.IT",
"math.IT"
] | In this paper we investigate the structure of the fundamental polytope used in the Linear Programming decoding introduced by Feldman, Karger and Wainwright. We begin by showing that for expander codes, every fractional pseudocodeword always has at least a constant fraction of non-integral bits. We then prove that for e... | {
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0709.3921 | Geographic Gossip: Efficient Averaging for Sensor Networks | [
"cs.IT",
"cs.NI",
"math.IT",
"math.PR"
] | Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standard gossip algorithms can lead to a significant waste in energy by repeatedly recirculating redundant information. For realistic sensor networ... | {
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0709.3965 | Evolving Classifiers: Methods for Incremental Learning | [
"cs.LG",
"cs.AI",
"cs.NE"
] | The ability of a classifier to take on new information and classes by evolving the classifier without it having to be fully retrained is known as incremental learning. Incremental learning has been successfully applied to many classification problems, where the data is changing and is not all available at once. In this... | {
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0709.3967 | Classification of Images Using Support Vector Machines | [
"cs.LG",
"cs.AI"
] | Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community. They have their roots in Statistical Learning Theory and have gained prominence because they are robust, accurate and are effective even when using a small training sample. By their nature SVMs a... | {
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} |
0709.3974 | Fitness landscape of the cellular automata majority problem: View from
the Olympus | [
"cs.AI"
] | In this paper we study cellular automata (CAs) that perform the computational Majority task. This task is a good example of what the phenomenon of emergence in complex systems is. We take an interest in the reasons that make this particular fitness landscape a difficult one. The first goal is to study the landscape as ... | {
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} |
0709.4010 | Local search heuristics: Fitness Cloud versus Fitness Landscape | [
"cs.AI"
] | This paper introduces the concept of fitness cloud as an alternative way to visualize and analyze search spaces than given by the geographic notion of fitness landscape. It is argued that the fitness cloud concept overcomes several deficiencies of the landscape representation. Our analysis is based on the correlation b... | {
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} |
0709.4011 | Measuring the Evolvability Landscape to study Neutrality | [
"cs.AI"
] | This theoretical work defines the measure of autocorrelation of evolvability in the context of neutral fitness landscape. This measure has been studied on the classical MAX-SAT problem. This work highlight a new characteristic of neutral fitness landscapes which allows to design new adapted metaheuristic. | {
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} |
0709.4015 | From Texts to Structured Documents: The Case of Health Practice
Guidelines | [
"cs.AI"
] | This paper describes a system capable of semi-automatically filling an XML template from free texts in the clinical domain (practice guidelines). The XML template includes semantic information not explicitly encoded in the text (pairs of conditions and actions/recommendations). Therefore, there is a need to compute the... | {
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} |
0709.4035 | Energy Efficient Estimation of Gaussian Sources Over Inhomogeneous
Gaussian MAC Channels | [
"cs.IT",
"math.IT"
] | It has been shown lately the optimality of uncoded transmission in estimating Gaussian sources over homogeneous/symmetric Gaussian multiple access channels (MAC) using multiple sensors. It remains, however, unclear whether it still holds for any arbitrary networks and/or with high channel signal-to-noise ratio (SNR) an... | {
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} |
0709.4280 | A converse to Moore's theorem on cellular automata | [
"math.CO",
"cs.IT",
"math.DS",
"math.GR",
"math.IT"
] | We prove a converse to Moore's ``Garden-of-Eden'' theorem: a group G is amenable if and only if all cellular automata living on G that admit mutually erasable patterns also admit gardens of Eden. It had already been conjectured in that amenability could be characterized by cellular automata. We prove the first part o... | {
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} |
0709.4397 | The Parallel-Sequential Duality : Matrices and Graphs | [
"math.CO",
"cs.IT",
"math.IT"
] | Usually, mathematical objects have highly parallel interpretations. In this paper, we consider them as sequential constructors of other objects. In particular, we prove that every reflexive directed graph can be interpreted as a program that builds another and is itself builded by another. That leads to some optimal me... | {
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} |
0709.4464 | Adaptive Investment Strategies For Periodic Environments | [
"cs.CE",
"cs.NE"
] | In this paper, we present an adaptive investment strategy for environments with periodic returns on investment. In our approach, we consider an investment model where the agent decides at every time step the proportion of wealth to invest in a risky asset, keeping the rest of the budget in a risk-free asset. Every inve... | {
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} |
0709.4466 | Serially Concatenated IRA Codes | [
"cs.IT",
"math.IT"
] | We address the error floor problem of low-density parity check (LDPC) codes on the binary-input additive white Gaussian noise (AWGN) channel, by constructing a serially concatenated code consisting of two systematic irregular repeat accumulate (IRA) component codes connected by an interleaver. The interleaver is design... | {
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} |
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