Special Issue Similarity Based Pattern Recognition
Author: Manuele Bicego
Publisher:
Published: 2006
Total Pages: 136
ISBN-13:
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Author: Manuele Bicego
Publisher:
Published: 2006
Total Pages: 136
ISBN-13:
DOWNLOAD EBOOKAuthor: Marcello Pelillo
Publisher: Springer
Published: 2011-09-25
Total Pages: 345
ISBN-13: 3642244718
DOWNLOAD EBOOKThis 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.
Author:
Publisher:
Published: 2011-10-01
Total Pages: 348
ISBN-13: 9783642244728
DOWNLOAD EBOOKAuthor: Sergey V. Ablameyko
Publisher: Springer Nature
Published: 2019-11-22
Total Pages: 320
ISBN-13: 303035430X
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.
Author: Marcello Pelillo
Publisher: Springer Science & Business Media
Published: 2013-11-26
Total Pages: 293
ISBN-13: 1447156285
DOWNLOAD EBOOKThis 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.
Author: Aasa Feragen
Publisher: Springer
Published: 2015-10-04
Total Pages: 238
ISBN-13: 331924261X
DOWNLOAD EBOOKThis 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.
Author: Edwin Hancock
Publisher: Springer
Published: 2013-06-28
Total Pages: 307
ISBN-13: 3642391400
DOWNLOAD EBOOKThis 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.
Author: Longin Latecki
Publisher:
Published: 2002
Total Pages: 297
ISBN-13:
DOWNLOAD EBOOKAuthor: Aasa Feragen
Publisher:
Published: 2015
Total Pages:
ISBN-13: 9783319242620
DOWNLOAD EBOOKThis 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.
Author: Abdelhamid Mellouk
Publisher: BoD – Books on Demand
Published: 2009-01-01
Total Pages: 434
ISBN-13: 3902613564
DOWNLOAD EBOOKMachine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience.