Similarity Based Pattern Analysis and Recognition is popular PDF and ePub book, written by Marcello Pelillo in 2013-11-26, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Similarity Based Pattern Analysis and Recognition can be Read Online from any device for your convenience.
Similarity Based Pattern Analysis and Recognition Book PDF Summary
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.
Detail Book of Similarity Based Pattern Analysis and Recognition PDF
- Author : Marcello Pelillo
- Release : 26 November 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781447156284
- Genre : Computers
- Total Page : 293 pages
- Language : English
- PDF File Size : 13,9 Mb
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