Graph-Based Sparse Learning: Models, Algorithms, and Applications
abstract: Sparse learning is a powerful tool to generate models of high-dimensional data with high interpretability, and it has many important applications in areas such as bioinformatics, medical image processing, and computer vision. Recently, the a priori structural information has been shown to...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/2286/R.I.27437 |