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Subspace Regularized Sparse Multi-Task Learning for Multi-Class Neurodegenerative Disease Identification
The high feature-dimension and low sample-size problem is one of the major challenges in the study of computer-aided Alzheimer’s Disease (AD) diagnosis. To circumvent this problem, feature selection and subspace learning have been playing core roles in literature. Generally, feature selection method...
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| Vydáno v: | IEEE Trans Biomed Eng |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4751062/ https://ncbi.nlm.nih.gov/pubmed/26276982 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2015.2466616 |
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