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Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications
This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in v...
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| Lenguaje: | eng |
| Publicado: |
Springer
2015
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| Acceso en línea: | http://cds.cern.ch/record/2043095 |
| _version_ | 1780947872892583936 |
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| author | Cheng, Hong |
| author_facet | Cheng, Hong |
| author_sort | Cheng, Hong |
| collection | CERN |
| description | This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: provides a thorough introduction to the fundamentals of sparse representation, modeling and learning, and the application of these techniques in visual recognition; describes sparse recovery approaches, robust and efficient sparse represen |
| id | cern-2043095 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2015 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-20430952021-04-21T20:07:00Zhttp://cds.cern.ch/record/2043095engCheng, HongSparse representation, modeling and learning in visual recognition: theory, algorithms and applicationsComputing and Computers This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: provides a thorough introduction to the fundamentals of sparse representation, modeling and learning, and the application of these techniques in visual recognition; describes sparse recovery approaches, robust and efficient sparse represenSpringeroai:cds.cern.ch:20430952015 |
| spellingShingle | Computing and Computers Cheng, Hong Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| title | Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| title_full | Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| title_fullStr | Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| title_full_unstemmed | Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| title_short | Sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| title_sort | sparse representation, modeling and learning in visual recognition: theory, algorithms and applications |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2043095 |
| work_keys_str_mv | AT chenghong sparserepresentationmodelingandlearninginvisualrecognitiontheoryalgorithmsandapplications |