Similarity-Based Pattern Recognition, Aasa Feragen; Marcello Pelillo; Marco Loog

Автор: Amsaleg
Название: Similarity Search and Applications
ISBN: 3319467581 ISBN-13(EAN): 9783319467580
Издательство: Springer
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Описание: This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. and scalable similarity search.

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.

Автор: Marcello Pelillo
Название: Similarity-Based Pattern Analysis and Recognition
ISBN: 1447156277 ISBN-13(EAN): 9781447156277
Издательство: Springer
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Цена: 13974.00 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: Christian Beecks; Felix Borutta; Peer Kr?ger; Thom
Название: Similarity Search and Applications
ISBN: 3319684736 ISBN-13(EAN): 9783319684734
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th International Conference on Similarity Search and Applications, SISAP 2017, held in Munich, Germany, in October 2017. The 23 full papers presented were carefully reviewed and selected from 53 submissions.

Автор: Deepak P; Prasad M. Deshpande
Название: Operators for Similarity Search
ISBN: 3319212567 ISBN-13(EAN): 9783319212562
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively.The book starts off by providing introductory material on similarity search systems, highlighting the central role of similarity operators in such systems.

Автор: Giuseppe Amato; Richard Connor; Fabrizio Falchi; C
Название: Similarity Search and Applications
ISBN: 3319250868 ISBN-13(EAN): 9783319250861
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the proceedings of the 8th International Conference on Similarity Search and Applications, SISAP 2015, held in Glasgow, UK, in October 2015. The 19 full papers, 12 short and 9 demo and poster papers presented in this volume were carefully reviewed and selected from 68 submissions. demo papers.

Автор: Knees
Название: Music Similarity and Retrieval
ISBN: 3662497204 ISBN-13(EAN): 9783662497203
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book providesa summary of the manifold audio- and web-based approaches to music informationretrieval (MIR) research. In contrast to other books dealing solely with musicsignal processing, it addresses additional cultural and listener-centric aspectsand thus provides a more holistic view. Consequently, the text includes methodsoperating on features extracted directly from the audio signal, as well asmethods operating on features extracted from contextual information, either thecultural context of music as represented on the web or the user and usagecontext of music.Followingthe prevalent document-centered paradigm of information retrieval, the bookaddresses models of music similarity that extract computational features todescribe an entity that represents music on any level (e.g., song, album, orartist), and methods to calculate the similarity between them. While thisperspective and the representations discussed cannot describe all musicaldimensions, they enable us to effectively find music of similar qualities byproviding abstract summarizations of musical artifacts from differentmodalities. The text athand provides a comprehensive and accessible introduction to the topics ofmusic search, retrieval, and recommendation from an academic perspective. Itwill not only allow those new to the field to quickly access MIR from aninformation retrieval point of view but also raise awareness for thedevelopments of the music domain within the greater IR community. In thisregard, Part I deals with content-based MIR, in particular the extraction offeatures from the music signal and similarity calculation for content-basedretrieval. Part II subsequently addresses MIR methods that make use of thedigitally accessible cultural context of music. Part III addresses methods of collaborativefiltering and user-aware and multi-modal retrieval, while Part IV explorescurrent and future applications of music retrieval and recommendation.>

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 5557.00 р.
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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: 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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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.