Structured Sparse Learning and Its Applications to Biomedical and Biological Data
abstract: Sparsity has become an important modeling tool in areas such as genetics, signal and audio processing, medical image processing, etc. Via the penalization of l-1 norm based regularization, the structured sparse learning algorithms can produce highly accurate models while imposing various p...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/2286/R.I.17864 |