Support Vector Machines Applications
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ISBN-13:
9783319343297
Veröffentl:
2016
Einband:
Paperback
Erscheinungsdatum:
03.09.2016
Seiten:
312
Autor:
Guodong Guo
Gewicht:
532 g
Format:
235x155x16 mm
Sprache:
Englisch
Beschreibung:
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.
Focus on current developments in the field of Support Vector Machines
Augmented-SVM for gradient observations with application to learning multiple-attractor dynamics.- Multi-class Support Vector Machine.- Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning.- Security Evaluation of Support Vector Machines in Adversarial Environments.- Application of SVMs to the Bag-of-features Model¿ A Kernel Perspective.- Support Vector Machines for Neuroimage Analysis: Interpretation from Discrimination.- Kernel Machines for Imbalanced Data Problem and the Use in Biomedical Applications.- Soft Biometrics from Face Images using Support Vector Machines.
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