Information Theory in Computer Vision and Pattern Recognition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Francisco Escolano Ruiz 作者

Springer

譯者

2009-07-24 出版日期

412 頁數

USD 129.00 價格

Hardcover

叢書系列

9781848822962 圖書編碼

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發表於2024-09-19

Information Theory in Computer Vision and Pattern Recognition 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Information Theory in Computer Vision and Pattern Recognition 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Information Theory in Computer Vision and Pattern Recognition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Information Theory in Computer Vision and Pattern Recognition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Information Theory in Computer Vision and Pattern Recognition 在線電子書圖書描述

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 在線電子書下載 mobi epub pdf txt 在線電子書下載

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