EAN: 9781848822962

Bilder-Quelle: shopping24.de – Sport

Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching clustering and segmentation saliency detection feature selection optimal classifier design and many others). Nowadays researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy mutual information...) principles (maximum entropy minimax entropy...) and theories (rate distortion theory method of types...). This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers and contributes to a cross-fertilization of both areas.

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13.01.2026 um 19:46 Uhr

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