Related Books
Language: en
Pages: 240
Pages: 240
Type: BOOK - Published: 2014-10-30 - Publisher: Springer
This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among un
Language: en
Pages: 262
Pages: 262
Type: BOOK - Published: 2017-06-06 - Publisher: Academic Press
Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual anal
Language: en
Pages: 296
Pages: 296
Type: BOOK - Published: 2019-04-26 - Publisher: Academic Press
Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretab
Language: en
Pages: 246
Pages: 246
Type: BOOK - Published: 2017 - Publisher:
Nowadays, many real-world problems must deal with collections of high-dimensional data. High dimensional data usually have intrinsic low-dimensional representat
Language: en
Pages: 280
Pages: 280
Type: BOOK - Published: 2018-08-03 - Publisher: Springer
This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effecti