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Similarity Based Pattern Recognition
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Book Synopsis Similarity-Based Pattern Recognition by :
Download or read book Similarity-Based Pattern Recognition written by and published by . This book was released on 2011-10-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Similarity-Based Pattern Analysis and Recognition by : Marcello Pelillo
Download or read book Similarity-Based Pattern Analysis and Recognition written by Marcello Pelillo and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a “kernel tailoring” approach and a strategy for learning similarities directly from training data; describes various methods for “structure-preserving” embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imaging applications.
Book Synopsis Similarity-Based Pattern Recognition by : Edwin Hancock
Download or read book Similarity-Based Pattern Recognition written by Edwin Hancock and published by Springer. This book was released on 2013-06-28 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.
Book Synopsis Similarity-Based Pattern Recognition by : Aasa Feragen
Download or read book Similarity-Based Pattern Recognition written by Aasa Feragen and published by Springer. This book was released on 2015-10-04 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015. The 15 full and 8 short papers presented were carefully reviewed and selected from 30 submissions.The workshop focus on problems, techniques, applications, and perspectives: from supervisedto unsupervised learning, from generative to discriminative models, and fromtheoretical issues to empirical validations.
Book Synopsis Similarity-Based Pattern Recognition by : Marcello Pelillo
Download or read book Similarity-Based Pattern Recognition written by Marcello Pelillo and published by Springer. This book was released on 2011-09-25 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held in Venice, Italy, in September 2011. The 16 full papers and 7 poster papers presented were carefully reviewed and selected from 35 submissions. The contributions are organized in topical sections on dissimilarity characterization and analysis; generative models of similarity data; graph-based and relational models; clustering and dissimilarity data; applications; spectral methods and embedding.
Book Synopsis Similarity-Based Pattern Recognition by : Aasa Feragen
Download or read book Similarity-Based Pattern Recognition written by Aasa Feragen and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015. The 15 full and 8 short papers presented were carefully reviewed and selected from 30 submissions.The workshop focus on problems, techniques, applications, and perspectives: from supervised to unsupervised learning, from generative to discriminative models, and from theoretical issues to empirical validations.
Book Synopsis Knowledge Transfer between Computer Vision and Text Mining by : Radu Tudor Ionescu
Download or read book Knowledge Transfer between Computer Vision and Text Mining written by Radu Tudor Ionescu and published by Springer. This book was released on 2016-04-25 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ground-breaking text/reference diverges from the traditional view that computer vision (for image analysis) and string processing (for text mining) are separate and unrelated fields of study, propounding that images and text can be treated in a similar manner for the purposes of information retrieval, extraction and classification. Highlighting the benefits of knowledge transfer between the two disciplines, the text presents a range of novel similarity-based learning (SBL) techniques founded on this approach. Topics and features: describes a variety of SBL approaches, including nearest neighbor models, local learning, kernel methods, and clustering algorithms; presents a nearest neighbor model based on a novel dissimilarity for images; discusses a novel kernel for (visual) word histograms, as well as several kernels based on a pyramid representation; introduces an approach based on string kernels for native language identification; contains links for downloading relevant open source code.
Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner
Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2003-05-15 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.
Author :Sanghamitra Bandyopadhyay Publisher :Springer Science & Business Media ISBN 13 :3642324517 Total Pages :271 pages Book Rating :4.6/5 (423 download)
Book Synopsis Unsupervised Classification by : Sanghamitra Bandyopadhyay
Download or read book Unsupervised Classification written by Sanghamitra Bandyopadhyay and published by Springer Science & Business Media. This book was released on 2012-12-13 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature. This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection. The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.
Book Synopsis Machine Learning and Data Mining in Pattern Recognition by :
Download or read book Machine Learning and Data Mining in Pattern Recognition written by and published by . This book was released on 2001 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications by : H.P. Ren
Download or read book A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications written by H.P. Ren and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this paper is to propose a new similarity measure of singlevalued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the proposed similarity in pattern recognition, medical diagnosis and multi-attribute decision making problems under single-valued neutrosophic environment.
Book Synopsis A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications by : Haiping Ren
Download or read book A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications written by Haiping Ren and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this paper is to propose a new similarity measure of single valued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the proposed similarity in pattern recognition, medical diagnosis and multi-attribute decision making problems under single-valued neutrosophic environment.
Book Synopsis Similarity-Based Clustering by : Thomas Villmann
Download or read book Similarity-Based Clustering written by Thomas Villmann and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology. Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics.
Book Synopsis A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications by : H.P. Ren
Download or read book A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications written by H.P. Ren and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this paper is to propose a new similarity measure of singlevalued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the proposed similarity in pattern recognition, medical diagnosis and multi-attribute decision making problems under single-valued neutrosophic environment.
Book Synopsis Pattern Recognition and Image Analysis by :
Download or read book Pattern Recognition and Image Analysis written by and published by . This book was released on 2005 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On-Line Fault Detection and Supervision in the Chemical Process Industries by : P.S. Dhurjati
Download or read book On-Line Fault Detection and Supervision in the Chemical Process Industries written by P.S. Dhurjati and published by Pergamon. This book was released on 1993-04-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the application of quality management to the chemical process industry, in about 50 selected papers from an April 1991 symposium in Newark, Delaware. They discuss strategies for the detection and diagnosis of process faults; modeling, validation, and interpretation of process trends; neural networks in process supervision and fault diagnosis; and other aspects. Reproduced from the authors' copies. Annotation copyright by Book News, Inc., Portland, OR
Book Synopsis A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications by : Minxia Luo
Download or read book A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications written by Minxia Luo and published by Infinite Study. This book was released on with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, a novel similarity measure for interval-valued intuitionistic fuzzy sets is introduced, which is based on the transformed interval-valued intuitionistic triangle fuzzy numbers. Its superiority is shown by comparing the proposed similarity measure with some existing similarity measures by some numerical examples. Furthermore, the proposed similarity measure is applied to deal with pattern recognition and medical diagnosis problems.