Graph-Based Representations in Pattern Recognition, Cheng-Lin Liu; Bin Luo; Walter G. Kropatsch; Jian

Автор: Andrea Torsello; Francisco Escolano Ruiz; Luc Brun
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3642021239 ISBN-13(EAN): 9783642021237
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

Автор: Kaspar Riesen
Название: Structural Pattern Recognition with Graph Edit Distance
ISBN: 3319272519 ISBN-13(EAN): 9783319272511
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem;

Автор: Pasquale Foggia; Cheng-Lin Liu; Mario Vento
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3319589601 ISBN-13(EAN): 9783319589602
Издательство: Springer
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Цена: 7685.00 р.
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Описание: 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.

Автор: Jean-Michel Jolion; Walter Kropatsch
Название: Graph Based Representations in Pattern Recognition
ISBN: 3211831215 ISBN-13(EAN): 9783211831212
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Graph-based representation of images represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. This book groups 14 papers in the subject areas of: hypergraphs, recognition, detection, matching, segmentation, implementation problems and representation.

Автор: Walter Kropatsch; Nicole M. Artner; Yll Haxhimusa;
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3642382207 ISBN-13(EAN): 9783642382208
Издательство: Springer
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Цена: 6429.00 р.
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Описание: 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. They are organized in topical sections named: finding subregions in graphs; graph representations, segmentation and shape; and search in graphs.

Автор: Boulbaba Ben Amor; Faten Chaieb; Faouzi Ghorbel
Название: Representations, Analysis and Recognition of Shape and Motion from Imaging Data
ISBN: 3319606530 ISBN-13(EAN): 9783319606538
Издательство: Springer
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Цена: 8384.00 р.
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Описание: 3D Shape Registration and Comparison.- Face Analysis and Recognition.- Video and Motion Analysis.- 2D Shape Analysis.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 14414.00 р.
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 14483.00 р.
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Описание: Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.

Автор: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.

Автор: Marcello Pelillo
Название: Similarity-Based Pattern Analysis and Recognition
ISBN: 1447169506 ISBN-13(EAN): 9781447169505
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This accessible book presents a coherent overview of non-Euclidean similarity learning, offering a range of perspectives on similarity-based pattern analysis and recognition methods from purely theoretical challenges to practical, real-world applications.

Автор: Edwin Hancock; Marcello Pelillo
Название: Similarity-Based Pattern Recognition
ISBN: 3642391397 ISBN-13(EAN): 9783642391392
Издательство: Springer
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Цена: 6986.00 р.
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Описание: 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.