9783319074153 - Robust Recognition via Information Theoretic Learning (SpringerBriefs in Computer Science) von He, Ran; Hu, Baogang; Yuan, Xiaotong; Wang, Liang (3 Ergebnisse)

Paperback. Zustand: Brand New. 2014 edition. 124 pages. 9.00x6.00x0.25 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 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.The 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.

Taschenbuch. Zustand: Neu. Robust Recognition via Information Theoretic Learning | Ran He (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xi | Englisch | 2014 | Springer | EAN 9783319074153 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.