Kernelized Supervised Dictionary Learning
The representation of a signal using a learned dictionary instead of predefined operators, such as wavelets, has led to state-of-the-art results in various applications such as denoising, texture analysis, and face recognition. The area of dictionary learning is closely associated with sparse repres...
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| Language: | en |
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2013
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| Online Access: | http://hdl.handle.net/10012/7455 |