Similarity-Based Pattern Analysis and Recognition
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 imagingapplications.
1133119057
Similarity-Based Pattern Analysis and Recognition
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 imagingapplications.
109.99
In Stock
5
1

Similarity-Based Pattern Analysis and Recognition
291
Similarity-Based Pattern Analysis and Recognition
291Paperback(Softcover reprint of the original 1st ed. 2013)
$109.99
109.99
In Stock
Product Details
ISBN-13: | 9781447169505 |
---|---|
Publisher: | Springer London |
Publication date: | 07/25/2017 |
Series: | Advances in Computer Vision and Pattern Recognition |
Edition description: | Softcover reprint of the original 1st ed. 2013 |
Pages: | 291 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.03(d) |
From the B&N Reads Blog