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Abstract: This contribution extends the Bron Kerbosch algorithm for solving the maximum weight clique problem, where continuous-valued weights are assigned to both, vertices and edges. We applied the proposed algorithm to graph matching problems. |
Title: Exponential-Family Random Graph Models for Valued Networks |
Abstract: Exponential-family random graph models (ERGMs) provide a principled and flexible way to model and simulate features common in social networks, such as propensities for homophily, mutuality, and friend-of-a-friend triad closure, through choice of model terms (sufficient statistics). However, those ERGMs modeli... |
Title: Optimal detection of changepoints with a linear computational cost |
Abstract: We consider the problem of detecting multiple changepoints in large data sets. Our focus is on applications where the number of changepoints will increase as we collect more data: for example in genetics as we analyse larger regions of the genome, or in finance as we observe time-series over longer periods. W... |
Title: Estimators of Fractal Dimension: Assessing the Roughness of Time Series and Spatial Data |
Abstract: The fractal or Hausdorff dimension is a measure of roughness (or smoothness) for time series and spatial data. The graph of a smooth, differentiable surface indexed in $^d$ has topological and fractal dimension $d$. If the surface is nondifferentiable and rough, the fractal dimension takes values between the ... |
Title: SMC^2: an efficient algorithm for sequential analysis of state-space models |
Abstract: We consider the generic problem of performing sequential Bayesian inference in a state-space model with observation process y, state process x and fixed parameter theta. An idealized approach would be to apply the iterated batch importance sampling (IBIS) algorithm of Chopin (2002). This is a sequential Monte... |
Title: Application of Freeman Chain Codes: An Alternative Recognition Technique for Malaysian Car Plates |
Abstract: Various applications of car plate recognition systems have been developed using various kinds of methods and techniques by researchers all over the world. The applications developed were only suitable for specific country due to its standard specification endorsed by the transport department of particular cou... |
Title: Finding Consensus Bayesian Network Structures |
Abstract: Suppose that multiple experts (or learning algorithms) provide us with alternative Bayesian network (BN) structures over a domain, and that we are interested in combining them into a single consensus BN structure. Specifically, we are interested in that the consensus BN structure only represents independences... |
Title: Bayesian Nonparametric Covariance Regression |
Abstract: Although there is a rich literature on methods for allowing the variance in a univariate regression model to vary with predictors, time and other factors, relatively little has been done in the multivariate case. Our focus is on developing a class of nonparametric covariance regression models, which allow an ... |
Title: Illustrating Color Evolution and Color Blindness by the Decoding Model of Color Vision |
Abstract: A symmetrical model of color vision, the decoding model as a new version of zone model, was introduced. The model adopts new continuous-valued logic and works in a way very similar to the way a 3-8 decoder in a numerical circuit works. By the decoding model, Young and Helmholtz's tri-pigment theory and Hering... |
Title: Casting Robotic End-effectors To Reach Faraway Moving Objects |
Abstract: In this article we address the problem of catching objects that move at a relatively large distance from the robot, of the order of tens of times the size of the robot itself. To this purpose, we adopt casting manipulation and visual-based feedback control. Casting manipulation is a technique to deploy a robo... |
Title: Distributed Collision-free Protocol for AGVs in Industrial Environments |
Abstract: In this paper, we propose a decentralized coordina- tion algorithm for safe and efficient management of a group of mobile robots following predefined paths in a dynamic industrial environment. The proposed algorithm is based on a shared resources protocol and a replanning strategy. It is proved to guarantee o... |
Title: Logical Consensus for Distributed and Robust Intrusion Detection |
Abstract: In this paper we introduce a novel consensus mech- anism where agents of a network are able to share logical values, or Booleans, representing their local opinions on e.g. the presence of an intruder or of a fire within an indoor environment. We first formulate the logical consensus problem, and then we revie... |
Title: Distributed Intrusion Detection for the Security of Societies of Robots |
Abstract: This paper addresses the problem of detecting possible intruders in a group of autonomous robots, which coexist in a shared environment and interact with each other according to a set of "social behaviors", or common rules. Such rules specify what actions each robot is allowed to perform in the pursuit of its... |
Title: Distributed Consensus on Set-valued Information |
Abstract: This paper focuses on the convergence of infor- mation in distributed systems of agents communicating over a network. The information on which the convergence is sought is not represented by real numbers, rather by sets of real numbers, whose possible dynamics are given by the class of so-called Boolean maps,... |
Title: Planning with Partial Preference Models |
Abstract: Current work in planning with preferences assume that the user's preference models are completely specified and aim to search for a single solution plan. In many real-world planning scenarios, however, the user probably cannot provide any information about her desired plans, or in some cases can only express ... |
Title: Group Invariant Scattering |
Abstract: This paper constructs translation invariant operators on L2(R^d), which are Lipschitz continuous to the action of diffeomorphisms. A scattering propagator is a path ordered product of non-linear and non-commuting operators, each of which computes the modulus of a wavelet transform. A local integration defines... |
Title: A Factorial Experiment on Scalability of Search Based Software Testing |
Abstract: Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and to decide which method to use in order to generate the test data is important. This paper discusses the efficiency of search-based algorithms (preferably gene... |
Title: Automatic segmentation of HeLa cell images |
Abstract: In this work, the possibilities for segmentation of cells from their background and each other in digital image were tested, combined and improoved. Lot of images with young, adult and mixture cells were able to prove the quality of described algorithms. Proper segmentation is one of the main task of image an... |
Title: Review and Evaluation of Feature Selection Algorithms in Synthetic Problems |
Abstract: The main purpose of Feature Subset Selection is to find a reduced subset of attributes from a data set described by a feature set. The task of a feature selection algorithm (FSA) is to provide with a computational solution motivated by a certain definition of relevance or by a reliable evaluation measure. In ... |
Title: Rotated multifractal network generator |
Abstract: The recently introduced multifractal network generator (MFNG), has been shown to provide a simple and flexible tool for creating random graphs with very diverse features. The MFNG is based on multifractal measures embedded in 2d, leading also to isolated nodes, whose number is relatively low for realistic cas... |
Title: Simultaneous model-based clustering and visualization in the Fisher discriminative subspace |
Abstract: Clustering in high-dimensional spaces is nowadays a recurrent problem in many scientific domains but remains a difficult task from both the clustering accuracy and the result understanding points of view. This paper presents a discriminative latent mixture (DLM) model which fits the data in a latent orthonorm... |
Title: Extracting Features from Ratings: The Role of Factor Models |
Abstract: Performing effective preference-based data retrieval requires detailed and preferentially meaningful structurized information about the current user as well as the items under consideration. A common problem is that representations of items often only consist of mere technical attributes, which do not resembl... |
Title: Content-Based Filtering for Video Sharing Social Networks |
Abstract: In this paper we compare the use of several features in the task of content filtering for video social networks, a very challenging task, not only because the unwanted content is related to very high-level semantic concepts (e.g., pornography, violence, etc.) but also because videos from social networks are e... |
Title: Correct ordering in the Zipf-Poisson ensemble |
Abstract: We consider a Zipf--Poisson ensemble in which $X_i\sim\poi(Ni^-\alpha)$ for $\alpha>1$ and $N>0$ and integers $i\ge 1$. As $N\to\infty$ the first $n'(N)$ random variables have their proper order $X_1>X_2>...>X_n'$ relative to each other, with probability tending to 1 for $n'$ up to $(AN/\log(N))^1/(\alpha+2)$... |
Title: DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model |
Abstract: Structural equation models and Bayesian networks have been widely used to analyze causal relations between continuous variables. In such frameworks, linear acyclic models are typically used to model the data-generating process of variables. Recently, it was shown that use of non-Gaussianity identifies the ful... |
Title: A Review of Research on Devnagari Character Recognition |
Abstract: English Character Recognition (CR) has been extensively studied in the last half century and progressed to a level, sufficient to produce technology driven applications. But same is not the case for Indian languages which are complicated in terms of structure and computations. Rapidly growing computational po... |
Title: Aging in language dynamics |
Abstract: Human languages evolve continuously, and a puzzling problem is how to reconcile the apparent robustness of most of the deep linguistic structures we use with the evidence that they undergo possibly slow, yet ceaseless, changes. Is the state in which we observe languages today closer to what would be a dynamic... |
Title: Support vector machines/relevance vector machine for remote sensing classification: A review |
Abstract: Kernel-based machine learning algorithms are based on mapping data from the original input feature space to a kernel feature space of higher dimensionality to solve a linear problem in that space. Over the last decade, kernel based classification and regression approaches such as support vector machines have ... |
Title: SafeVchat: Detecting Obscene Content and Misbehaving Users in Online Video Chat Services |
Abstract: Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are fast becoming very popular, with over a million users per month in the case of Chatroulette. A key problem encountered in such systems is the presence of flashers and obscene con... |
Title: Generalized Belief Propagation for the Noiseless Capacity and Information Rates of Run-Length Limited Constraints |
Abstract: The performance of the generalized belief propagation algorithm for computing the noiseless capacity and mutual information rates of finite-size two-dimensional and three-dimensional run-length limited constraints is investigated. For each constraint, a method is proposed to choose the basic regions and to co... |
Title: An Adjusted Likelihood Ratio Test for Separability in Unbalanced Multivariate Repeated Measures Data |
Abstract: We propose an adjusted likelihood ratio test of two-factor separability (Kronecker product structure) for unbalanced multivariate repeated measures data. Here we address the particular case where the within subject correlation is believed to decrease exponentially in both dimensions (e.g., temporal and spatia... |
Title: Introduction to the Bag of Features Paradigm for Image Classification and Retrieval |
Abstract: The past decade has seen the growing popularity of Bag of Features (BoF) approaches to many computer vision tasks, including image classification, video search, robot localization, and texture recognition. Part of the appeal is simplicity. BoF methods are based on orderless collections of quantized local imag... |
Title: Efficient Independence-Based MAP Approach for Robust Markov Networks Structure Discovery |
Abstract: This work introduces the IB-score, a family of independence-based score functions for robust learning of Markov networks independence structures. Markov networks are a widely used graphical representation of probability distributions, with many applications in several fields of science. The main advantage of ... |
Title: Automated Image Processing for the Analysis of DNA Repair Dynamics |
Abstract: The efficient repair of cellular DNA is essential for the maintenance and inheritance of genomic information. In order to cope with the high frequency of spontaneous and induced DNA damage, a multitude of repair mechanisms have evolved. These are enabled by a wide range of protein factors specifically recogni... |
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