Image and video classification and image similarity measurement by learning sparse representation
Sparse representation of signals has recently emerged as a major research area. It is well-known that many natural signals can be sparsely represented using a properly chosen dictionary (e.g. formed of wavelets bases). A dictionary could be complete or overcomplete depending on whether the number of...
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| Language: | English |
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University of British Columbia
2013
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| Online Access: | http://hdl.handle.net/2429/45122 |