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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:IEEE Trans Biomed Eng
मुख्य लेखकों: Zhu, Xiaofeng, Suk, Heung-Il, Lee, Seong-Whan, Shen, Dinggang
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2015
विषय:
ऑनलाइन पहुंच: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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