Graph Classification And Clustering Based On Vector Space Embedding

Graph Classification And Clustering Based On Vector Space Embedding
Author :
Publisher : World Scientific
Total Pages : 346
Release :
ISBN-10 : 9789814465038
ISBN-13 : 9814465038
Rating : 4/5 (38 Downloads)

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

Graph Embedding for Pattern Analysis
Author :
Publisher : Springer Science & Business Media
Total Pages : 264
Release :
ISBN-10 : 9781461444572
ISBN-13 : 1461444578
Rating : 4/5 (72 Downloads)

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

Structural, Syntactic, and Statistical Pattern Recognition
Author :
Publisher : Springer
Total Pages : 770
Release :
ISBN-10 : 9783642341663
ISBN-13 : 3642341667
Rating : 4/5 (63 Downloads)

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

Graph-Based Representations in Pattern Recognition
Author :
Publisher : Springer Science & Business Media
Total Pages : 355
Release :
ISBN-10 : 9783642208430
ISBN-13 : 3642208436
Rating : 4/5 (30 Downloads)

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

Computer Analysis of Images and Patterns
Author :
Publisher : Springer
Total Pages : 622
Release :
ISBN-10 : 9783642402616
ISBN-13 : 3642402615
Rating : 4/5 (16 Downloads)

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

Graph-Based Representations in Pattern Recognition
Author :
Publisher : Springer
Total Pages : 290
Release :
ISBN-10 : 9783319589619
ISBN-13 : 331958961X
Rating : 4/5 (19 Downloads)

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.

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis
Author :
Publisher : Springer
Total Pages : 773
Release :
ISBN-10 : 9783642212574
ISBN-13 : 3642212573
Rating : 4/5 (74 Downloads)

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.