{"product_id":"robust-recognition-via-information-theoretic-learning-9783319074153","title":"Robust Recognition Via Information Theoretic Learning","description":"\u003cp\u003e • Author(s): Ran He\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\u003eThis Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have been proffered in the past decade, in a large variety of computer vision applications; this work brings them together, attempts to impart the theory, optimization and usage of information entropy.\u003c\/p\u003e\u003cp\u003eThe authors resort to a new information theoretic concept, correntropy, as a robust measure and apply it to solve robust face recognition and object recognition problems. For computational efficiency, the brief introduces the additive and multiplicative forms of half-quadratic optimization to efficiently minimize entropy problems and a two-stage sparse presentation framework for large scale recognition problems. It also describes the strengths and deficiencies of different robust measures in solving robust recognition problems.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45280379830423,"sku":"9783319074153","price":3672.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319074153.webp?v=1769296156","url":"https:\/\/atlanticbooks.com\/products\/robust-recognition-via-information-theoretic-learning-9783319074153","provider":"Atlantic Books","version":"1.0","type":"link"}