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Abstract: Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influen... |
Title: Plagiarism Detection using ROUGE and WordNet |
Abstract: With the arrival of digital era and Internet, the lack of information control provides an incentive for people to freely use any content available to them. Plagiarism occurs when users fail to credit the original owner for the content referred to, and such behavior leads to violation of intellectual property.... |
Title: A Neuro-Fuzzy Multi Swarm FastSLAM Framework |
Abstract: FastSLAM is a framework for simultaneous localization using a Rao-Blackwellized particle filter. In FastSLAM, particle filter is used for the mobile robot pose (position and orientation) estimation, and an Extended Kalman Filter (EKF) is used for the feature location's estimation. However, FastSLAM degenerate... |
Title: Gene Expression Data Knowledge Discovery using Global and Local Clustering |
Abstract: To understand complex biological systems, the research community has produced huge corpus of gene expression data. A large number of clustering approaches have been proposed for the analysis of gene expression data. However, extracting important biological knowledge is still harder. To address this task, clus... |
Title: Fuzzy-based Navigation and Control of a Non-Holonomic Mobile Robot |
Abstract: In recent years, the use of non-analytical methods of computing such as fuzzy logic, evolutionary computation, and neural networks has demonstrated the utility and potential of these paradigms for intelligent control of mobile robot navigation. In this paper, a theoretical model of a fuzzy based controller fo... |
Title: Land-cover Classification and Mapping for Eastern Himalayan State Sikkim |
Abstract: Area of classifying satellite imagery has become a challenging task in current era where there is tremendous growth in settlement i.e. construction of buildings, roads, bridges, dam etc. This paper suggests an improvised k-means and Artificial Neural Network (ANN) classifier for land-cover mapping of Eastern ... |
Title: Integrating Real-Time Analysis With The Dendritic Cell Algorithm Through Segmentation |
Abstract: As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusion detection should be performed in real-time, to continuously detect misuses as soon as they occur. Consequently, the analysis proc... |
Title: Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model |
Abstract: In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling human reactive behaviour in the retail sector. In order to study... |
Title: Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory |
Abstract: The analysis of system calls is one method employed by anomaly detection systems to recognise malicious code execution. Similarities can be drawn between this process and the behaviour of certain cells belonging to the human immune system, and can be applied to construct an artificial immune system. A recentl... |
Title: Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems |
Abstract: Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techniques that rely on reinforcement learning only. This is thought to be a result of intelligent behaviour selection on the part of th... |
Title: Les Entit\'es Nomm\'ees : usage et degr\'es de pr\'ecision et de d\'esambigu\"isation |
Abstract: The recognition and classification of Named Entities (NER) are regarded as an important component for many Natural Language Processing (NLP) applications. The classification is usually made by taking into account the immediate context in which the NE appears. In some cases, this immediate context does not all... |
Title: A longest run test for heteroscedasticity in univariate regression model |
Abstract: The scope of this paper is the presentation of a test that enables to detect heteroscedasticity in univariate regression model. The test is simple to compute and very general since no hypothesis is made on the regularity of the response function or on the normality of errors. Simulations show that our test fa... |
Title: Development of a Cargo Screening Process Simulator: A First Approach |
Abstract: The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that take a holistic view of the overall screening procedures and n... |
Title: Unbeatable Imitation |
Abstract: We show that for many classes of symmetric two-player games, the simple decision rule "imitate-the-best" can hardly be beaten by any other decision rule. We provide necessary and sufficient conditions for imitation to be unbeatable and show that it can only be beaten by much in games that are of the rock-scis... |
Title: Towards automated high-throughput screening of C. elegans on agar |
Abstract: High-throughput screening (HTS) using model organisms is a promising method to identify a small number of genes or drugs potentially relevant to human biology or disease. In HTS experiments, robots and computers do a significant portion of the experimental work. However, one remaining major bottleneck is the ... |
Title: Diffusion limits of the random walk Metropolis algorithm in high dimensions |
Abstract: Diffusion limits of MCMC methods in high dimensions provide a useful theoretical tool for studying computational complexity. In particular, they lead directly to precise estimates of the number of steps required to explore the target measure, in stationarity, as a function of the dimension of the state space.... |
Title: Mathematical Foundations for a Compositional Distributional Model of Meaning |
Abstract: We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, for which we rely on the algebra of Pregroups, introduced by Lambek. This mathematical framework enables us to compute the meaning of... |
Title: An Extreme Value Theory approach for the early detection of time clusters with application to the surveillance of Salmonella |
Abstract: We propose a method to generate a warning system for the early detection of time clusters applied to public health surveillance data. This new method relies on the evaluation of a return period associated to any new count of a particular infection reported to a surveillance system. The method is applied to Sa... |
Title: Resolution and Scale Independent Function Matching Using a String Energy Penalized Spline Prior |
Abstract: The extension of the classical Bayesian penalized spline method to inference on vector-valued functions is considered, with an emphasis on characterizing the suitability of the method for general application.We show that the standard quadratic penalty is exactly analogous to the energy of a stretched string, ... |
Title: Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks |
Abstract: Current statistical models for structured prediction make simplifying assumptions about the underlying output graph structure, such as assuming a low-order Markov chain, because exact inference becomes intractable as the tree-width of the underlying graph increases. Approximate inference algorithms, on the ot... |
Title: Ball on a beam: stabilization under saturated input control with large basin of attraction |
Abstract: This article is devoted to the stabilization of two underactuated planar systems, the well-known straight beam-and-ball system and an original circular beam-and-ball system. The feedback control for each system is designed, using the Jordan form of its model, linearized near the unstable equilibrium. The limi... |
Title: Implementing Bayesian predictive procedures: The K-prime and K-square distributions |
Abstract: The implementation of Bayesian predictive procedures under standard normal models is considered. Two distributions are of particular interest, the K-prime and K-square distributions. They also give exact inferences for simple and multiple correlation coefficients. Their cumulative distribution functions can b... |
Title: La repr\'esentation formelle des concepts spatiaux dans la langue |
Abstract: In this chapter, we assume that systematically studying spatial markers semantics in language provides a means to reveal fundamental properties and concepts characterizing conceptual representations of space. We propose a formal system accounting for the properties highlighted by the linguistic analysis, and ... |
Title: Les entit\'es spatiales dans la langue : \'etude descriptive, formelle et exp\'erimentale de la cat\'egorisation |
Abstract: While previous linguistic and psycholinguistic research on space has mainly analyzed spatial relations, the studies reported in this paper focus on how language distinguishes among spatial entities. Descriptive and experimental studies first propose a classification of entities, which accounts for both static... |
Title: Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes |
Abstract: Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biology, and document analysis, among other areas. In many domains, there is additional information that can assist in prediction. For e... |
Title: New consistent and asymptotically normal estimators for random graph mixture models |
Abstract: Random graph mixture models are now very popular for modeling real data networks. In these setups, parameter estimation procedures usually rely on variational approximations, either combined with the expectation-maximisation () algorithm or with Bayesian approaches. Despite good results on synthetic data, the... |
Title: LEXSYS: Architecture and Implication for Intelligent Agent systems |
Abstract: LEXSYS, (Legume Expert System) was a project conceived at IITA (International Institute of Tropical Agriculture) Ibadan Nigeria. It was initiated by the COMBS (Collaborative Group on Maize-Based Systems Research in the 1990. It was meant for a general framework for characterizing on-farm testing for technolog... |
Title: Active Testing for Face Detection and Localization |
Abstract: We provide a novel search technique, which uses a hierarchical model and a mutual information gain heuristic to efficiently prune the search space when localizing faces in images. We show exponential gains in computation over traditional sliding window approaches, while keeping similar performance levels. |
Title: Rational Value of Information Estimation for Measurement Selection |
Abstract: Computing value of information (VOI) is a crucial task in various aspects of decision-making under uncertainty, such as in meta-reasoning for search; in selecting measurements to make, prior to choosing a course of action; and in managing the exploration vs. exploitation tradeoff. Since such applications typi... |
Title: The Video Genome |
Abstract: Fast evolution of Internet technologies has led to an explosive growth of video data available in the public domain and created unprecedented challenges in the analysis, organization, management, and control of such content. The problems encountered in video analysis such as identifying a video in a large dat... |
Title: Ideal-Theoretic Strategies for Asymptotic Approximation of Marginal Likelihood Integrals |
Abstract: The accurate asymptotic evaluation of marginal likelihood integrals is a fundamental problem in Bayesian statistics. Following the approach introduced by Watanabe, we translate this into a problem of computational algebraic geometry, namely, to determine the real log canonical threshold of a polynomial ideal,... |
Title: Learning Recursive Segments for Discourse Parsing |
Abstract: Automatically detecting discourse segments is an important preliminary step towards full discourse parsing. Previous research on discourse segmentation have relied on the assumption that elementary discourse units (EDUs) in a document always form a linear sequence (i.e., they can never be nested). Unfortunate... |
Title: Image Compression and Watermarking scheme using Scalar Quantization |
Abstract: This paper presents a new compression technique and image watermarking algorithm based on Contourlet Transform (CT). For image compression, an energy based quantization is used. Scalar quantization is explored for image watermarking. Double filter bank structure is used in CT. The Laplacian Pyramid (LP) is us... |
Title: Spoken Language Identification Using Hybrid Feature Extraction Methods |
Abstract: This paper introduces and motivates the use of hybrid robust feature extraction technique for spoken language identification (LID) system. The speech recognizers use a parametric form of a signal to get the most important distinguishable features of speech signal for recognition task. In this paper Mel-freque... |
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