paper Summaries: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 5: | Line 5: | ||
==A Direct Formulation For Sparse PCA Using Semidefinite Programming== | ==A Direct Formulation For Sparse PCA Using Semidefinite Programming== | ||
[[A Direct Formulation For Sparse PCA Using Semidefinite Programming]] | [[A Direct Formulation For Sparse PCA Using Semidefinite Programming]] | ||
==Compressive Sensing== | |||
[[Compressive Sensing]] | |||
Revision as of 23:03, 11 November 2010
A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
A Direct Formulation For Sparse PCA Using Semidefinite Programming
A Direct Formulation For Sparse PCA Using Semidefinite Programming