Information Theory in Computer Vision and Pattern Recognition pdf epub mobi txt 电子书下载 2024

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Francisco Escolano Ruiz

Springer

2009-07-24

412

USD 129.00

Hardcover

9781848822962

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发表于2024-11-11

Information Theory in Computer Vision and Pattern Recognition epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Information Theory in Computer Vision and Pattern Recognition pdf epub mobi txt 电子书下载 2024

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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.

Information Theory in Computer Vision and Pattern Recognition 下载 mobi epub pdf txt 电子书