text stringlengths 0 4.09k |
|---|
Title: SVM-based Multiview Face Recognition by Generalization of Discriminant Analysis |
Abstract: Identity verification of authentic persons by their multiview faces is a real valued problem in machine vision. Multiview faces are having difficulties due to non-linear representation in the feature space. This paper illustrates the usability of the generalization of LDA in the form of canonical covariate fo... |
Title: Detection and Demarcation of Tumor using Vector Quantization in MRI images |
Abstract: Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast cancer. That is why we proposed new algorithm to detect cancer in mammogram breast cancer images. In this paper we proposed segmentatio... |
Title: Sparse covariance estimation in heterogeneous samples |
Abstract: Standard Gaussian graphical models (GGMs) implicitly assume that the conditional independence among variables is common to all observations in the sample. However, in practice, observations are usually collected form heterogeneous populations where such assumption is not satisfied, leading in turn to nonlinea... |
Title: A Decidable Class of Nested Iterated Schemata (extended version) |
Abstract: Many problems can be specified by patterns of propositional formulae depending on a parameter, e.g. the specification of a circuit usually depends on the number of bits of its input. We define a logic whose formulae, called "iterated schemata", allow to express such patterns. Schemata extend propositional log... |
Title: Sentence Simplification Aids Protein-Protein Interaction Extraction |
Abstract: Accurate systems for extracting Protein-Protein Interactions (PPIs) automatically from biomedical articles can help accelerate biomedical research. Biomedical Informatics researchers are collaborating to provide metaservices and advance the state-of-art in PPI extraction. One problem often neglected by curren... |
Title: Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text |
Abstract: The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technical text. We propose a text simplification process, bioSimplify, that seeks to reduce the complexity of sentences in biomedical abstr... |
Title: Multi-camera Realtime 3D Tracking of Multiple Flying Animals |
Abstract: Automated tracking of animal movement allows analyses that would not otherwise be possible by providing great quantities of data. The additional capability of tracking in realtime - with minimal latency - opens up the experimental possibility of manipulating sensory feedback, thus allowing detailed exploratio... |
Title: Probabilistic Approach to Neural Networks Computation Based on Quantum Probability Model Probabilistic Principal Subspace Analysis Example |
Abstract: In this paper, we introduce elements of probabilistic model that is suitable for modeling of learning algorithms in biologically plausible artificial neural networks framework. Model is based on two of the main concepts in quantum physics - a density matrix and the Born rule. As an example, we will show that ... |
Title: Analytical continuation of imaginary axis data using maximum entropy |
Abstract: We study the maximum entropy (MaxEnt) approach for analytical continuation of spectral data from imaginary times to real frequencies. The total error is divided in a statistical error, due to the noise in the input data, and a systematic error, due to deviations of the default function, used in the MaxEnt app... |
Title: Implicit media frames: Automated analysis of public debate on artificial sweeteners |
Abstract: The framing of issues in the mass media plays a crucial role in the public understanding of science and technology. This article contributes to research concerned with diachronic analysis of media frames by making an analytical distinction between implicit and explicit media frames, and by introducing an auto... |
Title: A Formal Framework of Virtual Organisations as Agent Societies |
Abstract: We propose a formal framework that supports a model of agent-based Virtual Organisations (VOs) for service grids and provides an associated operational model for the creation of VOs. The framework is intended to be used for describing different service grid applications based on multiple agents and, as a resu... |
Title: X-Armed Bandits |
Abstract: We consider a generalization of stochastic bandits where the set of arms, $\cX$, is allowed to be a generic measurable space and the mean-payoff function is "locally Lipschitz" with respect to a dissimilarity function that is known to the decision maker. Under this condition we construct an arm selection poli... |
Title: On Bayesian Data Analysis |
Abstract: This introduction to Bayesian statistics presents the main concepts as well as the principal reasons advocated in favour of a Bayesian modelling. We cover the various approaches to prior determination as well as the basis asymptotic arguments in favour of using Bayes estimators. The testing aspects of Bayesia... |
Title: MM Algorithms for Minimizing Nonsmoothly Penalized Objective Functions |
Abstract: In this paper, we propose a general class of algorithms for optimizing an extensive variety of nonsmoothly penalized objective functions that satisfy certain regularity conditions. The proposed framework utilizes the majorization-minimization (MM) algorithm as its core optimization engine. The resulting algor... |
Title: Janus: Automatic Ontology Builder from XSD Files |
Abstract: The construction of a reference ontology for a large domain still remains an hard human task. The process is sometimes assisted by software tools that facilitate the information extraction from a textual corpus. Despite of the great use of XML Schema files on the internet and especially in the B2B domain, too... |
Title: "Additivity" versus "Maxitivity" at the heart of the paradoxical and efficient nature of Statistics |
Abstract: Unlike the Probability Theory based on additivity, Statistical Inference seems to hesitate between "Additivity" and a so-called "Maxitivity" approach. After a brief overview of three types of principles for any (parametric) statistical theory and the proof that these principles are mutually exclusive, the pap... |
Title: Trajectory Clustering and an Application to Airspace Monitoring |
Abstract: This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Nominal trajectories are determined and learned using data driven methods. Standard procedures are used by air traffic controllers (ATC) to guide aircraft, ensure the safety of the airspace, and to maximize the r... |
Title: Computing Networks: A General Framework to Contrast Neural and Swarm Cognitions |
Abstract: This paper presents the Computing Networks (CNs) framework. CNs are used to generalize neural and swarm architectures. Artificial neural networks, ant colony optimization, particle swarm optimization, and realistic biological models are used as examples of instantiations of CNs. The description of these archi... |
Title: Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation |
Abstract: Adaptive sampling results in dramatic improvements in the recovery of sparse signals in white Gaussian noise. A sequential adaptive sampling-and-refinement procedure called Distilled Sensing (DS) is proposed and analyzed. DS is a form of multi-stage experimental design and testing. Because of the adaptive nat... |
Title: Performance Comparisons of PSO based Clustering |
Abstract: In this paper we have investigated the performance of PSO Particle Swarm Optimization based clustering on few real world data sets and one artificial data set. The performances are measured by two metric namely quantization error and inter-cluster distance. The K means clustering algorithm is first implemente... |
Title: Kannada Character Recognition System A Review |
Abstract: Intensive research has been done on optical character recognition ocr and a large number of articles have been published on this topic during the last few decades. Many commercial OCR systems are now available in the market, but most of these systems work for Roman, Chinese, Japanese and Arabic characters. Th... |
Title: Threshold Based Indexing of Commercial Shoe Print to Create Reference and Recovery Images |
Abstract: One of the important evidence in a crime scene that is normally overlooked but very important evidence is shoe print as the criminal is normally unaware of the mask for this. In this paper we use image processing technique to process reference shoe images to make it index-able for a search from the database t... |
Title: Locally adaptive image denoising by a statistical multiresolution criterion |
Abstract: We demonstrate how one can choose the smoothing parameter in image denoising by a statistical multiresolution criterion, both globally and locally. Using inhomogeneous diffusion and total variation regularization as examples for localized regularization schemes, we present an efficient method for locally adap... |
Title: $\alpha$-Discounting Multi-Criteria Decision Making ($\alpha$-D MCDM) |
Abstract: In this book we introduce a new procedure called \alpha-Discounting Method for Multi-Criteria Decision Making (\alpha-D MCDM), which is as an alternative and extension of Saaty Analytical Hierarchy Process (AHP). It works for any number of preferences that can be transformed into a system of homogeneous linea... |
Title: Genetic algorithm for robotic telescope scheduling |
Abstract: This work was inspired by author experiences with a telescope scheduling. Author long time goal is to develop and further extend software for an autonomous observatory. The software shall provide users with all the facilities they need to take scientific images of the night sky, cooperate with other autonomou... |
Title: Constraint solvers: An empirical evaluation of design decisions |
Abstract: This paper presents an evaluation of the design decisions made in four state-of-the-art constraint solvers; Choco, ECLiPSe, Gecode, and Minion. To assess the impact of design decisions, instances of the five problem classes n-Queens, Golomb Ruler, Magic Square, Social Golfers, and Balanced Incomplete Block De... |
Title: Dominion -- A constraint solver generator |
Abstract: This paper proposes a design for a system to generate constraint solvers that are specialised for specific problem models. It describes the design in detail and gives preliminary experimental results showing the feasibility and effectiveness of the approach. |
Title: Classifying the typefaces of the Gutenberg 42-line bible |
Abstract: We have measured the dissimilarities among several printed characters of a single page in the Gutenberg 42-line bible and we prove statistically the existence of several different matrices from which the metal types where constructed. This is in contrast with the prevailing theory, which states that only one ... |
Title: Estimation error for blind Gaussian time series prediction |
Abstract: We tackle the issue of the blind prediction of a Gaussian time series. For this, we construct a projection operator build by plugging an empirical covariance estimation into a Schur complement decomposition of the projector. This operator is then used to compute the predictor. Rates of convergence of the esti... |
Title: Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine Architecture |
Abstract: Machine Consciousness is the study of consciousness in a biological, philosophical, mathematical and physical perspective and designing a model that can fit into a programmable system architecture. Prime objective of the study is to make the system architecture behave consciously like a biological model does.... |
Title: Some considerations on how the human brain must be arranged in order to make its replication in a thinking machine possible |
Abstract: For the most of my life, I have earned my living as a computer vision professional busy with image processing tasks and problems. In the computer vision community there is a widespread belief that artificial vision systems faithfully replicate human vision abilities or at least very closely mimic them. It was... |
Title: Dendritic Cells for SYN Scan Detection |
Abstract: Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the function of Dendritic Cells (DCs). DCs are antigen presenting cells and key to activation of the human immune system, behaviour which ... |
Title: Multivariate Granger Causality and Generalized Variance |
Abstract: Granger causality analysis is a popular method for inference on directed interactions in complex systems of many variables. A shortcoming of the standard framework for Granger causality is that it only allows for examination of interactions between single (univariate) variables within a system, perhaps condit... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.