Sparse Generalized PCA and Dependency Learning for Large-Scale Applications Beyond Gaussianity
The age of big data has re-invited much interest in dimension reduction. How to cope with high-dimensional data remains a difficult problem in statistical learning. In this study, we consider the task of dimension reduction---projecting data into a lower-rank subspace while p...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/FSU_2016SP_Zhang_fsu_0071E_13087 |