Special Issue Similarity Based Pattern Recognition

Special Issue Similarity Based Pattern Recognition PDF Author: Manuele Bicego
Publisher:
ISBN:
Category :
Languages : en
Pages : 136

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Book Description

Special Issue Similarity Based Pattern Recognition

Special Issue Similarity Based Pattern Recognition PDF Author: Manuele Bicego
Publisher:
ISBN:
Category :
Languages : en
Pages : 136

Get Book Here

Book Description


Similarity-Based Pattern Recognition

Similarity-Based Pattern Recognition PDF Author: Marcello Pelillo
Publisher: Springer
ISBN: 3642244718
Category : Computers
Languages : en
Pages : 345

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Book Description
This 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.

Similarity-Based Pattern Recognition

Similarity-Based Pattern Recognition PDF Author:
Publisher:
ISBN: 9783642244728
Category :
Languages : en
Pages : 348

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Book Description


Similarity-Based Pattern Analysis and Recognition

Similarity-Based Pattern Analysis and Recognition PDF Author: Marcello Pelillo
Publisher: Springer Science & Business Media
ISBN: 1447156285
Category : Computers
Languages : en
Pages : 293

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Book Description
This 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.

Similarity-Based Pattern Recognition

Similarity-Based Pattern Recognition PDF Author: Aasa Feragen
Publisher: Springer
ISBN: 331924261X
Category : Computers
Languages : en
Pages : 238

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Book Description
This 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.

Pattern Recognition and Information Processing

Pattern Recognition and Information Processing PDF Author: Sergey V. Ablameyko
Publisher: Springer Nature
ISBN: 303035430X
Category : Computers
Languages : en
Pages : 320

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Book Description
This 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.

Similarity-Based Pattern Recognition

Similarity-Based Pattern Recognition PDF Author: Edwin Hancock
Publisher: Springer
ISBN: 3642391400
Category : Computers
Languages : en
Pages : 307

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Book Description
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. 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.

Special Issue Shape Representation and Similarity for Image Databases

Special Issue Shape Representation and Similarity for Image Databases PDF Author: Longin Latecki
Publisher:
ISBN:
Category :
Languages : en
Pages : 297

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Book Description


Similarity-Based Pattern Recognition

Similarity-Based Pattern Recognition PDF Author: Marcello Pelillo
Publisher: Springer Science & Business Media
ISBN: 364224470X
Category : Computers
Languages : en
Pages : 345

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Book Description
This 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.

Similarity-Based Pattern Recognition

Similarity-Based Pattern Recognition PDF Author: Aasa Feragen
Publisher:
ISBN: 9783319242620
Category :
Languages : en
Pages :

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Book Description
This 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.