{"product_id":"similarity-based-pattern-analysis-and-recognition-9781447169505","title":"Similarity-Based Pattern Analysis and Recognition","description":"\u003cp\u003e • Author(s): Marcello Pelillo\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - Computer Vision \u0026amp; Pattern Recognit\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe pattern recognition and machine learning communities have, until recently, focused mainly on feature-vector representations, typically considering objects in isolation. However, this paradigm is being increasingly challenged by similarity-based approaches, which recognize the importance of relational and similarity information.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms\u003c\/li\u003e\n\u003cli\u003eReviews similarity measures for non-vectorial data, considering both a \"kernel tailoring\" approach and a strategy for learning similarities directly from training data\u003c\/li\u003e\n\u003cli\u003eDescribes various methods for \"structure-preserving\" embeddings of structured data\u003c\/li\u003e\n\u003cli\u003eFormulates classical pattern recognition problems from a purely game-theoretic perspective\u003c\/li\u003e\n\u003cli\u003eExamines two large-scale biomedical imaging applications that provide assistance in the diagnosis of physical and mental illnesses from tissue microarray images and MRI images\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis pioneering work is essential reading for graduate students and researchers seeking an introduction to this important and diverse subject.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eMarcello Pelillo\u003c\/b\u003e is a Full Professor of Computer Science at the University of Venice, Italy. He is a Fellow of the IEEE and of the IAPR.","brand":"Springer","offers":[{"title":"Paperback","offer_id":45275248263319,"sku":"9781447169505","price":7267.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781447169505.webp?v=1769282375","url":"https:\/\/atlanticbooks.com\/products\/similarity-based-pattern-analysis-and-recognition-9781447169505","provider":"Atlantic Books","version":"1.0","type":"link"}