Graph Classification And Clustering Based On Vector Space Embedding

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Graph Classification And Clustering Based On Vector Space Embedding

Author : Kaspar Riesen
Publisher : World Scientific
ISBN 13 : 9814465038
Total Pages : 346 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Graph Classification And Clustering Based On Vector Space Embedding by : Kaspar Riesen

Download or read book Graph Classification And Clustering Based On Vector Space Embedding written by Kaspar Riesen and published by World Scientific. This book was released on 2010-04-29 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.This volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition and related areas for a long time.

Graph Embedding for Pattern Analysis

Author : Yun Fu
Publisher : Springer Science & Business Media
ISBN 13 : 1461444578
Total Pages : 264 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Graph Embedding for Pattern Analysis by : Yun Fu

Download or read book Graph Embedding for Pattern Analysis written by Yun Fu and published by Springer Science & Business Media. This book was released on 2012-11-19 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Georgy Gimel ́farb
Publisher : Springer
ISBN 13 : 3642341667
Total Pages : 770 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Structural, Syntactic, and Statistical Pattern Recognition by : Georgy Gimel ́farb

Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Georgy Gimel ́farb and published by Springer. This book was released on 2012-10-22 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), held in Hiroshima, Japan, in November 2012 as a satellite event of the 21st International Conference on Pattern Recognition, ICPR 2012. The 80 revised full papers presented together with 1 invited paper and the Pierre Devijver award lecture were carefully reviewed and selected from more than 120 initial submissions. The papers are organized in topical sections on structural, syntactical, and statistical pattern recognition, graph and tree methods, randomized methods and image analysis, kernel methods in structural and syntactical pattern recognition, applications of structural and syntactical pattern recognition, clustering, learning, kernel methods in statistical pattern recognition, kernel methods in statistical pattern recognition, as well as applications of structural, syntactical, and statistical methods.

Graph-Based Representations in Pattern Recognition

Author : Xiaoyi Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 3642208436
Total Pages : 355 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Graph-Based Representations in Pattern Recognition by : Xiaoyi Jiang

Download or read book Graph-Based Representations in Pattern Recognition written by Xiaoyi Jiang and published by Springer Science & Business Media. This book was released on 2011-05-10 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2011, held in Münster, Germany, in May 2011. The 34 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on graph-based representation and characterization, graph matching, classification, and querying, graph-based learning, graph-based segmentation, and applications.

Computer Analysis of Images and Patterns

Author : Richard Wilson
Publisher : Springer
ISBN 13 : 3642402615
Total Pages : 622 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Computer Analysis of Images and Patterns by : Richard Wilson

Download or read book Computer Analysis of Images and Patterns written by Richard Wilson and published by Springer. This book was released on 2013-08-16 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 8047 and 8048 constitutes the refereed proceedings of the 15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, held in York, UK, in August 2013. The 142 papers presented were carefully reviewed and selected from 243 submissions. The scope of the conference spans the following areas: 3D TV, biometrics, color and texture, document analysis, graph-based methods, image and video indexing and database retrieval, image and video processing, image-based modeling, kernel methods, medical imaging, mobile multimedia, model-based vision approaches, motion analysis, natural computation for digital imagery, segmentation and grouping, and shape representation and analysis.

Graph-Based Representations in Pattern Recognition

Author : Pasquale Foggia
Publisher : Springer
ISBN 13 : 331958961X
Total Pages : 290 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Graph-Based Representations in Pattern Recognition by : Pasquale Foggia

Download or read book Graph-Based Representations in Pattern Recognition written by Pasquale Foggia and published by Springer. This book was released on 2017-05-08 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2017, held in Anacapri, Italy, in May 2017. The 25 full papers and 2 abstracts of invited papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.

Graph-based Keyword Spotting

Author : Stauffer Michael
Publisher : World Scientific
ISBN 13 : 9811206643
Total Pages : 296 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Graph-based Keyword Spotting by : Stauffer Michael

Download or read book Graph-based Keyword Spotting written by Stauffer Michael and published by World Scientific. This book was released on 2019-07-24 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Pattern Recognition and Image Analysis

Author : Jordi Vitria
Publisher : Springer
ISBN 13 : 3642212573
Total Pages : 773 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Pattern Recognition and Image Analysis by : Jordi Vitria

Download or read book Pattern Recognition and Image Analysis written by Jordi Vitria and published by Springer. This book was released on 2011-06-18 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011, held in Las Palmas de Gran Canaria, Spain, in June 2011. The 34 revised full papers and 58 revised poster papers presented were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on computer vision; image processing and analysis; medical applications; and pattern recognition.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Isabelle Bloch
Publisher : Springer
ISBN 13 : 3642166873
Total Pages : 588 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Isabelle Bloch

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Isabelle Bloch and published by Springer. This book was released on 2010-11-02 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world with the aim of promoting and disseminating - going research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in pattern recognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for pattern recognition in the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR).

Structural Pattern Recognition with Graph Edit Distance

Author : Kaspar Riesen
Publisher : Springer
ISBN 13 : 3319272527
Total Pages : 158 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Structural Pattern Recognition with Graph Edit Distance by : Kaspar Riesen

Download or read book Structural Pattern Recognition with Graph Edit Distance written by Kaspar Riesen and published by Springer. This book was released on 2016-01-09 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). The book also provides a detailed review of a diverse selection of novel methods related to GED, and concludes by suggesting possible avenues for future research. Topics and features: formally introduces the concept of GED, and highlights the basic properties of this graph matching paradigm; describes a reformulation of GED to a quadratic assignment problem; illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem; reviews strategies for reducing both the overestimation of the true edit distance and the matching time in the approximation framework; examines the improvement demonstrated by the described algorithmic framework with respect to the distance accuracy and the matching time; includes appendices listing the datasets employed for the experimental evaluations discussed in the book.

Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012

Author : Zhicai Zhong
Publisher : Springer Science & Business Media
ISBN 13 : 1447148479
Total Pages : 847 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012 by : Zhicai Zhong

Download or read book Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012 written by Zhicai Zhong and published by Springer Science & Business Media. This book was released on 2013-02-12 with total page 847 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information engineering and applications is the field of study concerned with constructing information computing, intelligent systems, mathematical models, numerical solution techniques, and using computers and other electronic devices to analyze and solve natural scientific, social scientific and engineering problems. Information engineering is an important underpinning for techniques used in information and computational science and there are many unresolved problems worth studying. The Proceedings of the 2nd International Conference on Information Engineering and Applications (IEA 2012), which was held in Chongqing, China, from October 26-28, 2012, discusses the most innovative research and developments including technical challenges and social, legal, political, and economic issues. A forum for engineers and scientists in academia, industry, and government, the Proceedings of the 2nd International Conference on Information Engineering and Applications presents ideas, results, works in progress, and experience in all aspects of information engineering and applications.

Pattern Recognition - Applications and Methods

Author : Pedro Latorre Carmona
Publisher : Springer Science & Business Media
ISBN 13 : 3642365302
Total Pages : 209 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Pattern Recognition - Applications and Methods by : Pedro Latorre Carmona

Download or read book Pattern Recognition - Applications and Methods written by Pedro Latorre Carmona and published by Springer Science & Business Media. This book was released on 2013-02-28 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book includes extended and revised versions of a set of selected papers from the First International Conference on Pattern Recognition (ICPRAM 2012), held in Vilamoura, Algarve, Portugal, from 6 to 8 February, 2012, sponsored by the Institute for Systems and Technologies of Information Control and Communication (INSTICC) and held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2). The conference brought together researchers, engineers and practitioners interested on the areas of Pattern Recognition, both from theoretical and application perspectives.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
ISBN 13 : 3540734996
Total Pages : 916 pages
Book Rating : 4.5/5 (47 download)

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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 2007-08-28 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.

Emerging Topics in Computer Vision and Its Applications

Author : C. H. Chen
Publisher : World Scientific
ISBN 13 : 9814343005
Total Pages : 508 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis Emerging Topics in Computer Vision and Its Applications by : C. H. Chen

Download or read book Emerging Topics in Computer Vision and Its Applications written by C. H. Chen and published by World Scientific. This book was released on 2012 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted.

Spectral Clustering and Biclustering

Author : Marianna Bolla
Publisher : John Wiley & Sons
ISBN 13 : 1118650719
Total Pages : 229 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Spectral Clustering and Biclustering by : Marianna Bolla

Download or read book Spectral Clustering and Biclustering written by Marianna Bolla and published by John Wiley & Sons. This book was released on 2013-06-27 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs. This book is suitable for a one-semester course for graduate students in data mining, multivariate statistics, or applied graph theory; but by skipping the proofs, the algorithms can also be used by specialists who just want to retrieve information from their data when analysing communication, social, or biological networks. Spectral Clustering and Biclustering: Provides a unified treatment for edge-weighted graphs and contingency tables via methods of multivariate statistical analysis (factoring, clustering, and biclustering). Uses spectral embedding and relaxation to estimate multiway cuts of edge-weighted graphs and bicuts of contingency tables. Goes beyond the expanders by describing the structure of dense graphs with a small spectral gap via the structural eigenvalues and eigen-subspaces of the normalized modularity matrix. Treats graphs like statistical data by combining methods of graph theory and statistics. Establishes a common outline structure for the contents of each algorithm, applicable to networks and microarrays, with unified notions and principles.

Structural, Syntactic, and Statistical Pattern Recognition

Author : Xiao Bai
Publisher : Springer
ISBN 13 : 3319977857
Total Pages : 525 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Structural, Syntactic, and Statistical Pattern Recognition by : Xiao Bai

Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Xiao Bai and published by Springer. This book was released on 2018-08-10 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.

Graph-Based Representations in Pattern Recognition

Author : Walter Kropatsch
Publisher : Springer
ISBN 13 : 3642382215
Total Pages : 264 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Graph-Based Representations in Pattern Recognition by : Walter Kropatsch

Download or read book Graph-Based Representations in Pattern Recognition written by Walter Kropatsch and published by Springer. This book was released on 2013-12-06 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013, held in Vienna, Austria, in May 2013. The 24 papers presented in this volume were carefully reviewed and selected from 27 submissions. They are organized in topical sections named: finding subregions in graphs; graph matching; classification; graph kernels; properties of graphs; topology; graph representations, segmentation and shape; and search in graphs.