{"product_id":"robust-recognition-via-information-theoretic-learning-von-ran-he-liang-wang-xiaotong-yuan-und-baogang-hu","title":"Robust Recognition via Information Theoretic Learning","description":"\n                                \n                \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\n                                \n                \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\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783319074153\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783319074153","offer_id":40079992553565,"sku":"9783319074153","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/77151ea0-5756-404f-b82d-55d6ff6e83a0.jpg?v=1772260784","url":"https:\/\/shop.autorenwelt.de\/products\/robust-recognition-via-information-theoretic-learning-von-ran-he-liang-wang-xiaotong-yuan-und-baogang-hu","provider":"Autorenwelt Shop","version":"1.0","type":"link"}