EAN: 9783319074153

Bilder-Quelle: discount24.de - Sport-Freizeit

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.

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12.02.2026 um 10:41 Uhr

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