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Title: Qualitative Robustness of Support Vector Machines |
Abstract: Support vector machines have attracted much attention in theoretical and in applied statistics. Main topics of recent interest are consistency, learning rates and robustness. In this article, it is shown that support vector machines are qualitatively robust. Since support vector machines can be represented by... |
Title: Measures of lexical distance between languages |
Abstract: The idea of measuring distance between languages seems to have its roots in the work of the French explorer Dumont D'Urville . He collected comparative words lists of various languages during his voyages aboard the Astrolabe from 1826 to 1829 and, in his work about the geographical division of the Pacific, he... |
Title: Making and Evaluating Point Forecasts |
Abstract: Typically, point forecasting methods are compared and assessed by means of an error measure or scoring function, such as the absolute error or the squared error. The individual scores are then averaged over forecast cases, to result in a summary measure of the predictive performance, such as the mean absolute... |
Title: Fingerprint Verification based on Gabor Filter Enhancement |
Abstract: Human fingerprints are reliable characteristics for personnel identification as it is unique and persistence. A fingerprint pattern consists of ridges, valleys and minutiae. In this paper we propose Fingerprint Verification based on Gabor Filter Enhancement (FVGFE) algorithm for minutiae feature extraction an... |
Title: Robust Multi biometric Recognition Using Face and Ear Images |
Abstract: This study investigates the use of ear as a biometric for authentication and shows experimental results obtained on a newly created dataset of 420 images. Images are passed to a quality module in order to reduce False Rejection Rate. The Principal Component Analysis (eigen ear) approach was used, obtaining 90... |
Title: Fish recognition based on the combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural Network and Decision Tree |
Abstract: We presents in this paper a novel fish classification methodology based on a combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural Network and Decision Tree. Unlike existing works for fish classification, which propose descriptors and do ... |
Title: Performance analysis of Non Linear Filtering Algorithms for underwater images |
Abstract: Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, speckle noise and salt and pepper noise. In this work, fiv... |
Title: Designing Kernel Scheme for Classifiers Fusion |
Abstract: In this paper, we propose a special fusion method for combining ensembles of base classifiers utilizing new neural networks in order to improve overall efficiency of classification. While ensembles are designed such that each classifier is trained independently while the decision fusion is performed as a fina... |
Title: Biogeography based Satellite Image Classification |
Abstract: Biogeography is the study of the geographical distribution of biological organisms. The mindset of the engineer is that we can learn from nature. Biogeography Based Optimization is a burgeoning nature inspired technique to find the optimal solution of the problem. Satellite image classification is an importan... |
Title: An ensemble approach for feature selection of Cyber Attack Dataset |
Abstract: Feature selection is an indispensable preprocessing step when mining huge datasets that can significantly improve the overall system performance. Therefore in this paper we focus on a hybrid approach of feature selection. This method falls into two phases. The filter phase select the features with highest inf... |
Title: Genetic Programming Framework for Fingerprint Matching |
Abstract: A fingerprint matching is a very difficult problem. Minutiae based matching is the most popular and widely used technique for fingerprint matching. The minutiae points considered in automatic identification systems are based normally on termination and bifurcation points. In this paper we propose a new techni... |
Title: On the numeric stability of the SFA implementation sfa-tk |
Abstract: Slow feature analysis (SFA) is a method for extracting slowly varying features from a quickly varying multidimensional signal. An open source Matlab-implementation sfa-tk makes SFA easily useable. We show here that under certain circumstances, namely when the covariance matrix of the nonlinearly expanded data... |
Title: Computable de Finetti measures |
Abstract: We prove a computable version of de Finetti's theorem on exchangeable sequences of real random variables. As a consequence, exchangeable stochastic processes expressed in probabilistic functional programming languages can be automatically rewritten as procedures that do not modify non-local state. Along the w... |
Title: How to Explain Individual Classification Decisions |
Abstract: After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the question what is the most likely label of a given unseen data point. However, most methods will provide no answer why the model pr... |
Title: A Learning-Based Approach to Reactive Security |
Abstract: Despite the conventional wisdom that proactive security is superior to reactive security, we show that reactive security can be competitive with proactive security as long as the reactive defender learns from past attacks instead of myopically overreacting to the last attack. Our game-theoretic model follows ... |
Title: Delay-Optimal Power and Subcarrier Allocation for OFDMA Systems via Stochastic Approximation |
Abstract: In this paper, we consider delay-optimal power and subcarrier allocation design for OFDMA systems with $N_F$ subcarriers, $K$ mobiles and one base station. There are $K$ queues at the base station for the downlink traffic to the $K$ mobiles with heterogeneous packet arrivals and delay requirements. We shall m... |
Title: Automatic creation of urban velocity fields from aerial video |
Abstract: In this paper, we present a system for modelling vehicle motion in an urban scene from low frame-rate aerial video. In particular, the scene is modelled as a probability distribution over velocities at every pixel in the image. We describe the complete system for acquiring this model. The video is captured fr... |
Title: Nonlinear Effects in Stiffness Modeling of Robotic Manipulators |
Abstract: The paper focuses on the enhanced stiffness modeling of robotic manipulators by taking into account influence of the external force/torque acting upon the end point. It implements the virtual joint technique that describes the compliance of manipulator elements by a set of localized six-dimensional springs se... |
Title: Dynamic Trees for Learning and Design |
Abstract: Dynamic regression trees are an attractive option for automatic regression and classification with complicated response surfaces in on-line application settings. We create a sequential tree model whose state changes in time with the accumulation of new data, and provide particle learning algorithms that allow... |
Title: Hyper-sparse optimal aggregation |
Abstract: In this paper, we consider the problem of "hyper-sparse aggregation". Namely, given a dictionary $F = \f_1, ..., f_M \$ of functions, we look for an optimal aggregation algorithm that writes $\tilde f = \sum_j=1^M \theta_j f_j$ with as many zero coefficients $\theta_j$ as possible. This problem is of particul... |
Title: KF-CS: Compressive Sensing on Kalman Filtered Residual |
Abstract: We consider the problem of recursively reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear incoherent measurements with additive noise. The idea of our proposed solution, KF CS-residual (KF-CS) is to replace compressed sensing (CS) ... |
Title: Robust Fitting of Ellipses and Spheroids |
Abstract: Ellipse and ellipsoid fitting has been extensively researched and widely applied. Although traditional fitting methods provide accurate estimation of ellipse parameters in the low-noise case, their performance is compromised when the noise level or the ellipse eccentricity are high. A series of robust fitting... |
Title: Parsing of part-of-speech tagged Assamese Texts |
Abstract: A natural language (or ordinary language) is a language that is spoken, written, or signed by humans for general-purpose communication, as distinguished from formal languages (such as computer-programming languages or the "languages" used in the study of formal logic). The computational activities required fo... |
Title: Association Rule Pruning based on Interestingness Measures with Clustering |
Abstract: Association rule mining plays vital part in knowledge mining. The difficult task is discovering knowledge or useful rules from the large number of rules generated for reduced support. For pruning or grouping rules, several techniques are used such as rule structure cover methods, informative cover methods, ru... |
Title: Document Searching System based on Natural Language Query Processing for Vietnam Open Courseware Library |
Abstract: The necessary of buiding the searching system being able to support users expressing their searching by natural language queries is very important and opens the researching direction with many potential. It combines the traditional methods of information retrieval and the researching of Question Answering (QA... |
Title: Gesture Recognition with a Focus on Important Actions by Using a Path Searching Method in Weighted Graph |
Abstract: This paper proposes a method of gesture recognition with a focus on important actions for distinguishing similar gestures. The method generates a partial action sequence by using optical flow images, expresses the sequence in the eigenspace, and checks the feature vector sequence by applying an optimum path-s... |
Title: Design of Intelligent layer for flexible querying in databases |
Abstract: Computer-based information technologies have been extensively used to help many organizations, private companies, and academic and education institutions manage their processes and information systems hereby become their nervous centre. The explosion of massive data sets created by businesses, science and gov... |
Title: Synthesis of supervised classification algorithm using intelligent and statistical tools |
Abstract: A fundamental task in detecting foreground objects in both static and dynamic scenes is to take the best choice of color system representation and the efficient technique for background modeling. We propose in this paper a non-parametric algorithm dedicated to segment and to detect objects in color images iss... |
Title: Early Detection of Breast Cancer using SVM Classifier Technique |
Abstract: This paper presents a tumor detection algorithm from mammogram. The proposed system focuses on the solution of two problems. One is how to detect tumors as suspicious regions with a very weak contrast to their background and another is how to extract features which categorize tumors. The tumor detection metho... |
Title: Heart Rate Variability Analysis Using Threshold of Wavelet Package Coefficients |
Abstract: In this paper, a new efficient feature extraction method based on the adaptive threshold of wavelet package coefficients is presented. This paper especially deals with the assessment of autonomic nervous system using the background variation of the signal Heart Rate Variability HRV extracted from the wavelet ... |
Title: Diffusive Nested Sampling |
Abstract: We introduce a general Monte Carlo method based on Nested Sampling (NS), for sampling complex probability distributions and estimating the normalising constant. The method uses one or more particles, which explore a mixture of nested probability distributions, each successive distribution occupying e^-1 time... |
Title: Closing the Learning-Planning Loop with Predictive State Representations |
Abstract: A central problem in artificial intelligence is that of planning to maximize future reward under uncertainty in a partially observable environment. In this paper we propose and demonstrate a novel algorithm which accurately learns a model of such an environment directly from sequences of action-observation pa... |
Title: Modeling sparse connectivity between underlying brain sources for EEG/MEG |
Abstract: We propose a novel technique to assess functional brain connectivity in EEG/MEG signals. Our method, called Sparsely-Connected Sources Analysis (SCSA), can overcome the problem of volume conduction by modeling neural data innovatively with the following ingredients: (a) the EEG is assumed to be a linear mixtu... |
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