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

Supervised Dictionary Learning

Supervised Dictionary Learning

Matrix Completion with Noise

Matrix Completion with Noise

Self-Taught_Learning

Self-Taught Learning