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Sparse Coding and its Applications in Computer Vision

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  • Дата: 10-11-2017, 23:01
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Автор: Zhaowen Wang, Jianchao Yang, Haichao Zhang
Название: Sparse Coding and its Applications in Computer Vision
Издательство: World Scientific Publishing Co
Год: 2015
ISBN: 9789814725040
Язык: English
Формат: pdf
Размер: 19,1 mb
Страниц: 230

This account introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion. The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.












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