paper Summaries

A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis

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

Compressive Sensing

Compressive Sensing

Deflation Methods for Sparse PCA

Deflation Methods for Sparse PCA