id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
1004.4758 | A Design of Paraunitary Polyphase Matrices of Rational Filter Banks
Based on (P,Q) Shift-Invariant Systems | [
"cs.IT",
"math.IT"
] | In this paper we present a method to design paraunitary polyphase matrices of critically sampled rational filter banks. The method is based on (P,Q) shift-invariant systems, and so any kind of rational splitting of the frequency spectrum can be achieved using this method. Ideal (P,Q) shift-invariant system with smalles... | {
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1004.4793 | Logical methods of object recognition on satellite images using spatial
constraints | [
"cs.CV"
] | A logical approach to object recognition on image is proposed. The main idea of the approach is to perform the object recognition as a logical inference on a set of rules describing an object shape. | {
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1004.4801 | Ontology-based inference for causal explanation | [
"cs.AI"
] | We define an inference system to capture explanations based on causal statements, using an ontology in the form of an IS-A hierarchy. We first introduce a simple logical language which makes it possible to express that a fact causes another fact and that a fact explains another fact. We present a set of formal inferenc... | {
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1004.4815 | Universal A Posteriori Metrics Game | [
"cs.IT",
"math.IT",
"math.PR"
] | Over binary input channels, uniform distribution is a universal prior, in the sense that it allows to maximize the worst case mutual information over all binary input channels, ensuring at least 94.2% of the capacity. In this paper, we address a similar question, but with respect to a universal generalized linear decod... | {
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1004.4824 | Growth and structure of Slovenia's scientific collaboration network | [
"physics.soc-ph",
"cond-mat.stat-mech",
"cs.DB"
] | We study the evolution of Slovenia's scientific collaboration network from 1960 till present with a yearly resolution. For each year the network was constructed from publication records of Slovene scientists, whereby two were connected if, up to the given year inclusive, they have coauthored at least one paper together... | {
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1004.4826 | Impact of Channel Asymmetry on Base Station Cooperative Transmission
with Limited Feedback | [
"cs.IT",
"math.IT"
] | Base station (BS) cooperative transmission, also known as coordinated multi-point transmission (CoMP), is an effective way to avoid inter-cell interference in universal frequency reuse cellular systems. To gain the promised benefit, however, huge feedback overhead is in demand to gather the channel information. In this... | {
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1004.4830 | Performance Evaluation of SCM-WDM System Using Different Linecoding | [
"cs.OH",
"cs.IT",
"math.IT"
] | This paper investigates the theoretical performance analysis for a subcarrier multiplexed (SCM) wavelength division multiplexing (WDM) optical transmission system in presence of optical beat interference (OBI) which occurs during the photo detection process. We have presented a comparison for improving the performance ... | {
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1004.4848 | Punctuation effects in English and Esperanto texts | [
"cs.CL",
"physics.data-an"
] | A statistical physics study of punctuation effects on sentence lengths is presented for written texts: {\it Alice in wonderland} and {\it Through a looking glass}. The translation of the first text into esperanto is also considered as a test for the role of punctuation in defining a style, and for contrasting natural a... | {
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1004.4864 | Polynomial Learning of Distribution Families | [
"cs.LG",
"cs.DS"
] | The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoretical computer science and machine learning. However, despite major progress, the general question of polynomial learnability of Gaussian mixture distri... | {
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1004.4880 | ECME Thresholding Methods for Sparse Signal Reconstruction | [
"cs.IT",
"math.IT"
] | We propose a probabilistic framework for interpreting and developing hard thresholding sparse signal reconstruction methods and present several new algorithms based on this framework. The measurements follow an underdetermined linear model, where the regression-coefficient vector is the sum of an unknown deterministic ... | {
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1004.4882 | Properties of Codes in the Johnson Scheme | [
"cs.IT",
"math.IT"
] | Codes which attain the sphere packing bound are called perfect codes. The most important metrics in coding theory on which perfect codes are defined are the Hamming metric and the Johnson metric. While for the Hamming metric all perfect codes over finite fields are known, in the Johnson metric it was conjectured by Del... | {
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1004.4917 | On the Capacity of Compound State-Dependent Channels with States Known
at the Transmitter | [
"cs.IT",
"math.IT",
"math.PR"
] | This paper investigates the capacity of compound state-dependent channels with non-causal state information available at only the transmitter. A new lower bound on the capacity of this class of channels is derived. This bound is shown to be tight for the special case of compound channels with stochastic degraded compon... | {
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1004.4944 | Outer Bounds for the Interference Channel with a Cognitive Relay | [
"cs.IT",
"math.IT"
] | In this paper, we first present an outer bound for a general interference channel with a cognitive relay, i.e., a relay that has non-causal knowledge of both independent messages transmitted in the interference channel. This outer bound reduces to the capacity region of the deterministic broadcast channel and of the de... | {
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1004.4949 | Reed Muller Sensing Matrices and the LASSO | [
"cs.IT",
"math.IT"
] | We construct two families of deterministic sensing matrices where the columns are obtained by exponentiating codewords in the quaternary Delsarte-Goethals code $DG(m,r)$. This method of construction results in sensing matrices with low coherence and spectral norm. The first family, which we call Delsarte-Goethals frame... | {
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1004.4965 | Many-to-Many Graph Matching: a Continuous Relaxation Approach | [
"stat.ML",
"cs.CV"
] | Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how to compare graphs. This problem is often formulated as a graph matching problem where one seeks a mapping between vertices of two graphs whic... | {
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1004.4968 | On the Achievable Rate Regions for a Class of Cognitive Radio Channels:
Interference Channel with Degraded Message Sets with Unidirectional
Destination Cooperation | [
"cs.IT",
"math.IT"
] | This paper considers the capacity gains due to unidirectional destination cooperation in cognitive radio channels. We propose a novel channel, interference channel with degraded message sets with unidirectional destination cooperation (IC-DMS-UDC), to allow the receiver of cognitive radio (secondary user) to participat... | {
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1004.5026 | Compressed Sensing: How sharp is the Restricted Isometry Property | [
"cs.IT",
"math.IT"
] | Compressed Sensing (CS) seeks to recover an unknown vector with $N$ entries by making far fewer than $N$ measurements; it posits that the number of compressed sensing measurements should be comparable to the information content of the vector, not simply $N$. CS combines the important task of compression directly with t... | {
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1004.5049 | The Burbea-Rao and Bhattacharyya centroids | [
"cs.IT",
"cs.CG",
"math.IT"
] | We study the centroid with respect to the class of information-theoretic Burbea-Rao divergences that generalize the celebrated Jensen-Shannon divergence by measuring the non-negative Jensen difference induced by a strictly convex and differentiable function. Although those Burbea-Rao divergences are symmetric by constr... | {
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1004.5051 | Tailored RF pulse optimization for magnetization inversion at ultra high
field | [
"cs.CE",
"cs.NE",
"physics.med-ph"
] | The radiofrequency (RF) transmit field is severely inhomogeneous at ultrahigh field due to both RF penetration and RF coil design issues. This particularly impairs image quality for sequences that use inversion pulses such as magnetization prepared rapid acquisition gradient echo and limits the use of quantitative arte... | {
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1004.5070 | Multichannel Sampling of Pulse Streams at the Rate of Innovation | [
"cs.IT",
"math.IT"
] | We consider minimal-rate sampling schemes for infinite streams of delayed and weighted versions of a known pulse shape. The minimal sampling rate for these parametric signals is referred to as the rate of innovation and is equal to the number of degrees of freedom per unit time. Although sampling of infinite pulse stre... | {
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1004.5071 | Dimensions of Formality: A Case Study for MKM in Software Engineering | [
"cs.DL",
"cs.AI",
"cs.SE"
] | We study the formalization of a collection of documents created for a Software Engineering project from an MKM perspective. We analyze how document and collection markup formats can cope with an open-ended, multi-dimensional space of primary and secondary classifications and relationships. We show that RDFa-based exten... | {
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1004.5094 | Fastest Distributed Consensus Problem on Branches of an Arbitrary
Connected Sensor Network | [
"cs.IT",
"cs.DC",
"cs.DM",
"math.IT"
] | This paper studies the fastest distributed consensus averaging problem on branches of an arbitrary connected sensor network. In the previous works full knowledge about the sensor network's connectivity topology was required for determining the optimal weights and convergence rate of distributed consensus averaging algo... | {
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1004.5108 | Analyzing Random Network Coding with Differential Equations and
Differential Inclusions | [
"cs.IT",
"cs.NI",
"math.DS",
"math.IT"
] | We develop a framework based on differential equations (DE) and differential inclusions (DI) for analyzing Random Network Coding (RNC), as well as a nonlinear variant referred to as Random Coupon (RC), in a wireless network. The DEDI framework serves as a powerful numerical and analytical tool to study RNC. We demonstr... | {
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1004.5132 | The Two-User Deterministic Interference Channel with Rate-Limited
Feedback | [
"cs.IT",
"math.IT"
] | In this paper we study the effect of rate-limited feedback on the sum-rate capacity of the deterministic interference channel. We characterize the sum-rate capacity of this channel in the symmetric case and show that having feedback links can increase the sum-rate capacity by at most the rate of the available feedback.... | {
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1004.5157 | Deriving Good LDPC Convolutional Codes from LDPC Block Codes | [
"cs.IT",
"math.IT"
] | Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper we discuss several graph-cover-based methods for deriving families of time-invariant and time-varying LDPC convolutional codes from LDPC block codes and show how ea... | {
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1004.5168 | Efficient and Effective Spam Filtering and Re-ranking for Large Web
Datasets | [
"cs.IR"
] | The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection, the ClueWeb09 dataset, which was crawled from the general Web in early 2009. This dataset contains 1 billion web pages, a substantial fraction of which are spam --- pages designed to deceive search engines so as to deliver an unwanted... | {
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1004.5181 | Analysis of Feedback Overhead for MIMO Beamforming over Time-Varying
Channels | [
"cs.IT",
"math.IT"
] | In this paper, the required amount of feedback overhead for multiple-input multiple-output (MIMO) beamforming over time-varying channels is presented in terms of the entropy of the feedback messages. In the case that each transmit antenna has its own power amplifier which has individual power limit, it has been known t... | {
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1004.5189 | Rate-distortion function via minimum mean square error estimation | [
"cs.IT",
"math.IT"
] | We derive a simple general parametric representation of the rate-distortion function of a memoryless source, where both the rate and the distortion are given by integrals whose integrands include the minimum mean square error (MMSE) of the distortion $\Delta=d(X,Y)$ based on the source symbol $X$, with respect to a cer... | {
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1004.5194 | Clustering processes | [
"cs.LG",
"cs.IT",
"math.IT",
"stat.ML"
] | The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of consistency, and show that simple consistent algorithms exist, under most general non-parametric assumptions. The notion of consistency is as f... | {
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1004.5195 | On Perfect Codes in the Johnson Graph | [
"cs.IT",
"math.IT"
] | In this paper we consider the existence of nontrivial perfect codes in the Johnson graph J(n,w). We present combinatorial and number theory techniques to provide necessary conditions for existence of such codes and reduce the range of parameters in which 1-perfect and 2-perfect codes may exist. | {
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1004.5214 | Split-Extended LDPC codes for coded cooperation | [
"cs.IT",
"math.IT"
] | We propose a new code design that aims to distribute an LDPC code over a relay channel. It is based on a split-and-extend approach, which allows the relay to split the set of bits connected to some parity-check of the LDPC code into two or several subsets. Subsequently, the sums of bits within each subset are used in a... | {
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1004.5215 | System Dynamics Modelling of the Processes Involving the Maintenance of
the Naive T Cell Repertoire | [
"cs.AI",
"q-bio.CB"
] | The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immunodegradation that indicate signs of functionality loss possibly leading to death. Even though it is not possible to prevent immunosenescence, there is great benefit in comprehen... | {
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1004.5216 | Optimized puncturing distributions for irregular non-binary LDPC codes | [
"cs.IT",
"math.IT"
] | In this paper we design non-uniform bit-wise puncturing distributions for irregular non-binary LDPC (NB-LDPC) codes. The puncturing distributions are optimized by minimizing the decoding threshold of the punctured LDPC code, the threshold being computed with a Monte-Carlo implementation of Density Evolution. First, we ... | {
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1004.5217 | Analysis of Quasi-Cyclic LDPC codes under ML decoding over the erasure
channel | [
"cs.IT",
"math.IT"
] | In this paper, we show that Quasi-Cyclic LDPC codes can efficiently accommodate the hybrid iterative/ML decoding over the binary erasure channel. We demonstrate that the quasi-cyclic structure of the parity-check matrix can be advantageously used in order to significantly reduce the complexity of the ML decoding. This ... | {
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1004.5222 | The Application of a Dendritic Cell Algorithm to a Robotic Classifier | [
"cs.AI",
"cs.NE",
"cs.RO"
] | The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration thresho... | {
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1004.5229 | Optimism in Reinforcement Learning and Kullback-Leibler Divergence | [
"cs.LG",
"math.ST",
"stat.ML",
"stat.TH"
] | We consider model-based reinforcement learning in finite Markov De- cision Processes (MDPs), focussing on so-called optimistic strategies. In MDPs, optimism can be implemented by carrying out extended value it- erations under a constraint of consistency with the estimated model tran- sition probabilities. The UCRL2 alg... | {
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} |
1004.5262 | On Application of the Local Search and the Genetic Algorithms Techniques
to Some Combinatorial Optimization Problems | [
"cs.NE",
"math.OC"
] | In this paper the approach to solving several combinatorial optimization problems using the local search and the genetic algorithm techniques is proposed. Initially this approach was developed in purpose to overcome some difficulties inhibiting the application of above mentioned techniques to the problems of the Questi... | {
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1004.5274 | Robustness maximization of parallel multichannel systems | [
"cs.IT",
"math.IT"
] | Bit error rate (BER) minimization and SNR-gap maximization, two robustness optimization problems, are solved, under average power and bit-rate constraints, according to the waterfilling policy. Under peak-power constraint the solutions differ and this paper gives bit-loading solutions of both robustness optimization pr... | {
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1004.5305 | Compressed Sensing with off-axis frequency-shifting holography | [
"physics.optics",
"cs.CV",
"physics.med-ph"
] | This work reveals an experimental microscopy acquisition scheme successfully combining Compressed Sensing (CS) and digital holography in off-axis and frequency-shifting conditions. CS is a recent data acquisition theory involving signal reconstruction from randomly undersampled measurements, exploiting the fact that mo... | {
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1004.5326 | Designing neural networks that process mean values of random variables | [
"cond-mat.dis-nn",
"cs.AI",
"cs.LG"
] | We introduce a class of neural networks derived from probabilistic models in the form of Bayesian networks. By imposing additional assumptions about the nature of the probabilistic models represented in the networks, we derive neural networks with standard dynamics that require no training to determine the synaptic wei... | {
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1004.5339 | Query strategy for sequential ontology debugging | [
"cs.LO",
"cs.AI"
] | Debugging of ontologies is an important prerequisite for their wide-spread application, especially in areas that rely upon everyday users to create and maintain knowledge bases, as in the case of the Semantic Web. Recent approaches use diagnosis methods to identify causes of inconsistent or incoherent ontologies. Howev... | {
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1004.5351 | Isometric Embeddings in Imaging and Vision: Facts and Fiction | [
"cs.CV",
"math.CV",
"math.DG"
] | We explore the practicability of Nash's Embedding Theorem in vision and imaging sciences. In particular, we investigate the relevance of a result of Burago and Zalgaller regarding the existence of isometric embeddings of polyhedral surfaces in $\mathbb{R}^3$ and we show that their proof does not extended directly to hi... | {
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1004.5367 | Multiplicatively Repeated Non-Binary LDPC Codes | [
"cs.IT",
"math.IT"
] | We propose non-binary LDPC codes concatenated with multiplicative repetition codes. By multiplicatively repeating the (2,3)-regular non-binary LDPC mother code of rate 1/3, we construct rate-compatible codes of lower rates 1/6, 1/9, 1/12,... Surprisingly, such simple low-rate non-binary LDPC codes outperform the best l... | {
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1004.5370 | Self-Taught Hashing for Fast Similarity Search | [
"cs.IR"
] | The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is semantic hashing which designs compact binary codes for a large number of documents so that semantically similar documents are mapped to similar... | {
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1004.5421 | Interference Mitigation through Limited Transmitter Cooperation | [
"cs.IT",
"math.IT"
] | Interference limits performance in wireless networks, and cooperation among receivers or transmitters can help mitigate interference by forming distributed MIMO systems. Earlier work shows how limited receiver cooperation helps mitigate interference. The scenario with transmitter cooperation, however, is more difficult... | {
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1004.5424 | Graphic Symbol Recognition using Graph Based Signature and Bayesian
Network Classifier | [
"cs.CV",
"cs.GR"
] | We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses structural approach for symbol representation and statistical cla... | {
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1004.5427 | Employing fuzzy intervals and loop-based methodology for designing
structural signature: an application to symbol recognition | [
"cs.CV",
"cs.GR"
] | Motivation of our work is to present a new methodology for symbol recognition. We support structural methods for representing visual associations in graphic documents. The proposed method employs a structural approach for symbol representation and a statistical classifier for recognition. We vectorize a graphic symbol,... | {
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1004.5429 | On Distance Properties of Quasi-Cyclic Protograph-Based LDPC Codes | [
"cs.IT",
"math.IT"
] | Recent work has shown that properly designed protograph-based LDPC codes may have minimum distance linearly increasing with block length. This notion rests on ensemble arguments over all possible expansions of the base protograph. When implementation complexity is considered, the expansion is typically chosen to be qui... | {
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1004.5442 | Multiple-Relaxation-Time Lattice Boltzmann Approach to Compressible
Flows with Flexible Specific-Heat Ratio and Prandtl Number | [
"cond-mat.soft",
"cs.CE",
"nlin.CG",
"physics.comp-ph",
"physics.flu-dyn",
"stat.CO"
] | A new multiple-relaxation-time lattice Boltzmann scheme for compressible flows with arbitrary specific heat ratio and Prandtl number is presented. In the new scheme, which is based on a two-dimensional 16-discrete-velocity model, the moment space and the corresponding transformation matrix are constructed according to ... | {
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1004.5479 | On Minimax Robust Detection of Stationary Gaussian Signals in White
Gaussian Noise | [
"cs.IT",
"math.IT",
"math.ST",
"stat.TH"
] | The problem of detecting a wide-sense stationary Gaussian signal process embedded in white Gaussian noise, where the power spectral density of the signal process exhibits uncertainty, is investigated. The performance of minimax robust detection is characterized by the exponential decay rate of the miss probability unde... | {
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} |
1004.5500 | Simple Type Theory as Framework for Combining Logics | [
"cs.LO",
"cs.AI"
] | Simple type theory is suited as framework for combining classical and non-classical logics. This claim is based on the observation that various prominent logics, including (quantified) multimodal logics and intuitionistic logics, can be elegantly embedded in simple type theory. Furthermore, simple type theory is suffic... | {
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1004.5529 | High-Rate Vector Quantization for the Neyman-Pearson Detection of
Correlated Processes | [
"cs.IT",
"math.IT",
"math.PR",
"math.ST",
"stat.TH"
] | This paper investigates the effect of quantization on the performance of the Neyman-Pearson test. It is assumed that a sensing unit observes samples of a correlated stationary ergodic multivariate process. Each sample is passed through an N-point quantizer and transmitted to a decision device which performs a binary hy... | {
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1004.5538 | Bayesian estimation of regularization and PSF parameters for Wiener-Hunt
deconvolution | [
"stat.CO",
"cs.CV",
"physics.data-an",
"stat.ME"
] | This paper tackles the problem of image deconvolution with joint estimation of PSF parameters and hyperparameters. Within a Bayesian framework, the solution is inferred via a global a posteriori law for unknown parameters and object. The estimate is chosen as the posterior mean, numerically calculated by means of a Mon... | {
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} |
1004.5540 | Strong Secrecy for Erasure Wiretap Channels | [
"cs.IT",
"math.IT"
] | We show that duals of certain low-density parity-check (LDPC) codes, when used in a standard coset coding scheme, provide strong secrecy over the binary erasure wiretap channel (BEWC). This result hinges on a stopping set analysis of ensembles of LDPC codes with block length $n$ and girth $\geq 2k$, for some $k \geq 2$... | {
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} |
1004.5551 | Entanglement Transmission over Arbitrarily Varying Quantum Channels | [
"quant-ph",
"cs.IT",
"math.IT"
] | We derive a regularized formula for the common randomness assisted entanglement transmission capacity of finite arbitrarily varying quantum channels (AVQC's). For finite AVQC's with positive capacity for classical message transmission we show, by derandomization through classical forward communication, that the random ... | {
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1004.5570 | Optimal computation of symmetric Boolean functions in Tree networks | [
"cs.IT",
"cs.NI",
"math.IT"
] | In this paper, we address the scenario where nodes with sensor data are connected in a tree network, and every node wants to compute a given symmetric Boolean function of the sensor data. We first consider the problem of computing a function of two nodes with integer measurements. We allow for block computation to enha... | {
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1004.5571 | Optimal ordering of transmissions for computing Boolean threhold
functions | [
"cs.IT",
"cs.NI",
"math.IT"
] | We address a sequential decision problem that arises in the computation of symmetric Boolean functions of distributed data. We consider a collocated network, where each node's transmissions can be heard by every other node. Each node has a Boolean measurement and we wish to compute a given Boolean function of these mea... | {
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} |
1004.5588 | On Achieving Local View Capacity Via Maximal Independent Graph
Scheduling | [
"cs.IT",
"math.IT"
] | "If we know more, we can achieve more." This adage also applies to communication networks, where more information about the network state translates into higher sumrates. In this paper, we formalize this increase of sum-rate with increased knowledge of the network state. The knowledge of network state is measured in te... | {
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1004.5601 | Near MDS poset codes and distributions | [
"cs.IT",
"math.IT"
] | We study $q$-ary codes with distance defined by a partial order of the coordinates of the codewords. Maximum Distance Separable (MDS) codes in the poset metric have been studied in a number of earlier works. We consider codes that are close to MDS codes by the value of their minimum distance. For such codes, we determi... | {
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1005.0027 | Learning from Multiple Outlooks | [
"cs.LG"
] | We propose a novel problem formulation of learning a single task when the data are provided in different feature spaces. Each such space is called an outlook, and is assumed to contain both labeled and unlabeled data. The objective is to take advantage of the data from all the outlooks to better classify each of the ou... | {
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1005.0047 | A Geometric View of Conjugate Priors | [
"cs.LG"
] | In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate prior. Specifically, we formulate the conjugate prior in the form of Bregman divergence and show that it is the inherent geometry of conjugate... | {
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1005.0052 | On the Joint Decoding of LDPC Codes and Finite-State Channels via Linear
Programming | [
"cs.IT",
"math.IT"
] | In this paper, the linear programming (LP) decoder for binary linear codes, introduced by Feldman, et al. is extended to joint-decoding of binary-input finite-state channels. In particular, we provide a rigorous definition of LP joint-decoding pseudo-codewords (JD-PCWs) that enables evaluation of the pairwise error pro... | {
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1005.0063 | Large Margin Multiclass Gaussian Classification with Differential
Privacy | [
"stat.ML",
"cs.CR",
"cs.LG"
] | As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealing information about individual data instances. The differential privacy model provides a framework for the development and theoretical analy... | {
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1005.0069 | Perturbation Resilience and Superiorization of Iterative Algorithms | [
"math.OC",
"cs.CV",
"physics.med-ph"
] | Iterative algorithms aimed at solving some problems are discussed. For certain problems, such as finding a common point in the intersection of a finite number of convex sets, there often exist iterative algorithms that impose very little demand on computer resources. For other problems, such as finding that point in th... | {
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1005.0072 | HyberLoc: Providing Physical Layer Location Privacy in Hybrid Sensor
Networks | [
"cs.IT",
"cs.CR",
"math.IT"
] | In many hybrid wireless sensor networks' applications, sensor nodes are deployed in hostile environments where trusted and un-trusted nodes co-exist. In anchor-based hybrid networks, it becomes important to allow trusted nodes to gain full access to the location information transmitted in beacon frames while, at the sa... | {
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1005.0075 | Distributive Stochastic Learning for Delay-Optimal OFDMA Power and
Subband Allocation | [
"cs.LG"
] | In this paper, we consider the distributive queue-aware power and subband allocation design for a delay-optimal OFDMA uplink system with one base station, $K$ users and $N_F$ independent subbands. Each mobile has an uplink queue with heterogeneous packet arrivals and delay requirements. We model the problem as an infin... | {
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1005.0080 | Electronic Geometry Textbook: A Geometric Textbook Knowledge Management
System | [
"cs.AI",
"cs.MS"
] | Electronic Geometry Textbook is a knowledge management system that manages geometric textbook knowledge to enable users to construct and share dynamic geometry textbooks interactively and efficiently. Based on a knowledge base organizing and storing the knowledge represented in specific languages, the system implements... | {
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1005.0089 | The Exact Closest String Problem as a Constraint Satisfaction Problem | [
"cs.AI"
] | We report (to our knowledge) the first evaluation of Constraint Satisfaction as a computational framework for solving closest string problems. We show that careful consideration of symbol occurrences can provide search heuristics that provide several orders of magnitude speedup at and above the optimal distance. We als... | {
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1005.0104 | Joint Structured Models for Extraction from Overlapping Sources | [
"cs.AI"
] | We consider the problem of jointly training structured models for extraction from sources whose instances enjoy partial overlap. This has important applications like user-driven ad-hoc information extraction on the web. Such applications present new challenges in terms of the number of sources and their arbitrary patte... | {
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1005.0117 | On the Separation of Lossy Source-Network Coding and Channel Coding in
Wireline Networks | [
"cs.IT",
"math.IT"
] | This paper proves the separation between source-network coding and channel coding in networks of noisy, discrete, memoryless channels. We show that the set of achievable distortion matrices in delivering a family of dependent sources across such a network equals the set of achievable distortion matrices for delivering ... | {
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1005.0125 | Adaptive Bases for Reinforcement Learning | [
"cs.LG",
"cs.AI"
] | We consider the problem of reinforcement learning using function approximation, where the approximating basis can change dynamically while interacting with the environment. A motivation for such an approach is maximizing the value function fitness to the problem faced. Three errors are considered: approximation square ... | {
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1005.0167 | A digital interface for Gaussian relay and interference networks:
Lifting codes from the discrete superposition model | [
"cs.IT",
"math.IT"
] | For every Gaussian network, there exists a corresponding deterministic network called the discrete superposition network. We show that this discrete superposition network provides a near-optimal digital interface for operating a class consisting of many Gaussian networks in the sense that any code for the discrete supe... | {
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1005.0188 | Generative and Latent Mean Map Kernels | [
"cs.LG",
"stat.ML"
] | We introduce two kernels that extend the mean map, which embeds probability measures in Hilbert spaces. The generative mean map kernel (GMMK) is a smooth similarity measure between probabilistic models. The latent mean map kernel (LMMK) generalizes the non-iid formulation of Hilbert space embeddings of empirical distri... | {
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1005.0198 | Personnalisation de Syst\`emes OLAP Annot\'es | [
"cs.DB"
] | This paper deals with personalization of annotated OLAP systems. Data constellation is extended to support annotations and user preferences. Annotations reflect the decision-maker experience whereas user preferences enable users to focus on the most interesting data. User preferences allow annotated contextual recommen... | {
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1005.0201 | Personnalisation de bases de donn\'ees multidimensionnelles | [
"cs.DB"
] | This paper deals with decision support systems resting on multidimensional modelling of data. Moreover, we intend to offer a set of concepts and mechanisms for personalized multidimensional database specifications. This personalization consists in associating weights to different components of a multidimensional schema... | {
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1005.0202 | Dictionary Optimization for Block-Sparse Representations | [
"cs.IT",
"math.IT"
] | Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has motivated the derivation of learning methods for designing a dictionary which leads to the sparsest representation for a given set of signals... | {
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1005.0212 | Construction graphique d'entrep\^ots et de magasins de donn\'ees | [
"cs.DB"
] | Nowadays, decisional systems have became a significant research topic in databases. Data warehouses and data marts are the main elements of such systems. This paper presents our decisional support system. We present graphical interfaces which help the administrator to build data warehouses and data marts. We present a ... | {
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1005.0213 | Alg\`ebre OLAP et langage graphique | [
"cs.DB"
] | This article deals with OLAP systems based on multidimensional model. The conceptual model we provide, represents data through a constellation (multi-facts) composed of several multi-hierarchy dimensions. In this model, data are displayed through multidimensional tables. We define a query algebra handling these tables.... | {
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1005.0214 | Mod\'elisation et extraction de donn\'ees pour un entrep\^ot objet | [
"cs.DB"
] | This paper describes an object-oriented model for designing complex and time-variant data warehouse data. The main contribution is the warehouse class concept, which extends the class concept by temporal and archive filters as well as a mapping function. Filters allow the keeping of relevant data changes whereas the ma... | {
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1005.0217 | Analyse multigraduelle OLAP | [
"cs.DB"
] | Decisional systems are based on multidimensional databases improving OLAP analyses. The paper describes a new OLAP operator named "BLEND" to perform multigradual analyses. The operation transforms multidimensional structures during querying in order to analyse measures according to various granularity levels, which are... | {
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1005.0218 | Contraintes pour mod\`ele et langage multidimensionnels | [
"cs.DB"
] | This paper defines a constraint-based model dedicated to multidimensional databases. The model we define represents data through a constellation of facts (subjects of analyse) associated to dimensions (axis of analyse), which are possibly shared. Each dimension is organised according to several hierarchies (views of an... | {
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1005.0219 | Mod\'elisation et manipulation de donn\'ees historis\'ees et archiv\'ees
dans un entrep\^ot orient\'e objet | [
"cs.DB"
] | This paper deals with temporal and archive object-oriented data warehouse modelling and querying. In a first step, we define a data model describing warehouses as central repositories of complex and temporal data extracted from one information source. The model is based on the concepts of warehouse object and environme... | {
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1005.0220 | Elaboration d'entrep\^ots de donn\'ees complexes | [
"cs.DB"
] | In this paper, we study the data warehouse modelling used in decision support systems. We provide an object-oriented data warehouse model allowing data warehouse description as a central repository of relevant, complex and temporal data. Our model integrates three concepts such as warehouse object, environment and ware... | {
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1005.0224 | Towards Conceptual Multidimensional Design in Decision Support Systems | [
"cs.DB"
] | Multidimensional databases support efficiently on-line analytical processing (OLAP). In this paper, we depict a model dedicated to multidimensional databases. The approach we present designs decisional information through a constellation of facts and dimensions. Each dimension is possibly shared between several facts a... | {
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1005.0267 | Recovery of sparsest signals via $\ell^q$-minimization | [
"cs.IT",
"math.IT"
] | In this paper, it is proved that every $s$-sparse vector ${\bf x}\in {\mathbb R}^n$ can be exactly recovered from the measurement vector ${\bf z}={\bf A} {\bf x}\in {\mathbb R}^m$ via some $\ell^q$-minimization with $0< q\le 1$, as soon as each $s$-sparse vector ${\bf x}\in {\mathbb R}^n$ is uniquely determined by the ... | {
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1005.0268 | Node-Context Network Clustering using PARAFAC Tensor Decomposition | [
"cs.IR"
] | We describe a clustering method for labeled link network (semantic graph) that can be used to group important nodes (highly connected nodes) with their relevant link's labels by using PARAFAC tensor decomposition. In this kind of network, the adjacency matrix can not be used to fully describe all information about the ... | {
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1005.0291 | The Compound Multiple Access Channel with Partially Cooperating Encoders | [
"cs.IT",
"math.IT"
] | The goal of this paper is to provide a rigorous information-theoretic analysis of subnetworks of interference networks. We prove two coding theorems for the compound multiple-access channel with an arbitrary number of channel states. The channel state information at the transmitters is such that each transmitter has a ... | {
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1005.0340 | Statistical Learning in Automated Troubleshooting: Application to LTE
Interference Mitigation | [
"cs.LG"
] | This paper presents a method for automated healing as part of off-line automated troubleshooting. The method combines statistical learning with constraint optimization. The automated healing aims at locally optimizing radio resource management (RRM) or system parameters of cells with poor performance in an iterative ma... | {
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1005.0375 | Performance Analysis of Cognitive Radio Systems under QoS Constraints
and Channel Uncertainty | [
"cs.IT",
"math.IT"
] | In this paper, performance of cognitive transmission over time-selective flat fading channels is studied under quality of service (QoS) constraints and channel uncertainty. Cognitive secondary users (SUs) are assumed to initially perform channel sensing to detect the activities of the primary users, and then attempt to... | {
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1005.0390 | Machine Learning for Galaxy Morphology Classification | [
"astro-ph.GA",
"cs.LG"
] | In this work, decision tree learning algorithms and fuzzy inferencing systems are applied for galaxy morphology classification. In particular, the CART, the C4.5, the Random Forest and fuzzy logic algorithms are studied and reliable classifiers are developed to distinguish between spiral galaxies, elliptical galaxies o... | {
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1005.0404 | Approximate Capacity of Gaussian Interference-Relay Networks with Weak
Cross Links | [
"cs.IT",
"math.IT"
] | In this paper we study a Gaussian relay-interference network, in which relay (helper) nodes are to facilitate competing information flows over a wireless network. We focus on a two-stage relay-interference network where there are weak cross-links, causing the networks to behave like a chain of Z Gaussian channels. For ... | {
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1005.0416 | Incremental Sampling-based Algorithms for Optimal Motion Planning | [
"cs.RO"
] | During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs) have been shown to work well in practice and to possess theoretical guarantees such as probabilistic completeness. However, no theoretical bounds on the quality of the solution obtained by th... | {
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"cs.NE": 0,
"cs.RO": 1,
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} |
1005.0419 | Capacity-Equivocation Region of the Gaussian MIMO Wiretap Channel | [
"cs.IT",
"cs.CR",
"math.IT"
] | We study the Gaussian multiple-input multiple-output (MIMO) wiretap channel, which consists of a transmitter, a legitimate user, and an eavesdropper. In this channel, the transmitter sends a common message to both the legitimate user and the eavesdropper. In addition to this common message, the legitimate user receives... | {
"Other": 0,
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"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1005.0426 | Security in Distributed Storage Systems by Communicating a Logarithmic
Number of Bits | [
"cs.CR",
"cs.IT",
"math.IT"
] | We investigate the problem of maintaining an encoded distributed storage system when some nodes contain adversarial errors. Using the error-correction capabilities that are built into the existing redundancy of the system, we propose a simple linear hashing scheme to detect errors in the storage nodes. Our main result ... | {
"Other": 0,
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"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1005.0437 | A Unifying View of Multiple Kernel Learning | [
"stat.ML",
"cs.LG"
] | Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different formulations of objectives and varying regularization strategies. In this paper we present a unifying general optimization criterion for multip... | {
"Other": 0,
"cs.AI": 0,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1005.0498 | Classes of lower bounds on outage error probability and MSE in Bayesian
parameter estimation | [
"cs.IT",
"math.IT"
] | In this paper, new classes of lower bounds on the outage error probability and on the mean-square-error (MSE) in Bayesian parameter estimation are proposed. The minima of the h-outage error probability and the MSE are obtained by the generalized maximum a-posteriori probability and the minimum MSE (MMSE) estimators, re... | {
"Other": 0,
"cs.AI": 0,
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"cs.CR": 0,
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"cs.DB": 0,
"cs.HC": 0,
"cs.IR": 0,
"cs.IT": 1,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1005.0527 | Detecting the Most Unusual Part of Two and Three-dimensional Digital
Images | [
"physics.data-an",
"cs.CV",
"physics.med-ph"
] | The purpose of this paper is to introduce an algorithm that can detect the most unusual part of a digital image in probabilistic setting. The most unusual part of a given shape is defined as a part of the image that has the maximal distance to all non intersecting shapes with the same form. The method is tested on two ... | {
"Other": 0,
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"cs.CL": 0,
"cs.CR": 0,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1005.0530 | Feature Selection with Conjunctions of Decision Stumps and Learning from
Microarray Data | [
"cs.LG",
"cs.AI",
"stat.ML"
] | One of the objectives of designing feature selection learning algorithms is to obtain classifiers that depend on a small number of attributes and have verifiable future performance guarantees. There are few, if any, approaches that successfully address the two goals simultaneously. Performance guarantees become crucial... | {
"Other": 0,
"cs.AI": 1,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
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"cs.IR": 0,
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"cs.LG": 1,
"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1005.0545 | Capacity of a Class of Broadcast Relay Channels | [
"cs.IT",
"math.IT"
] | Consider the broadcast relay channel (BRC) which consists of a source sending information over a two user broadcast channel in presence of two relay nodes that help the transmission to the destinations. Clearly, this network with five nodes involves all the problems encountered in relay and broadcast channels. New ... | {
"Other": 0,
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} |
1005.0605 | An approach to visualize the course of solving of a research task in
humans | [
"cs.AI"
] | A technique to study the dynamics of solving of a research task is suggested. The research task was based on specially developed software Right- Wrong Responder (RWR), with the participants having to reveal the response logic of the program. The participants interacted with the program in the form of a semi-binary dial... | {
"Other": 0,
"cs.AI": 1,
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"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
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