- Group Cardinality Constrained Logistic Regression MATLAB code
This is a MATLAB package which has been used to classify diseases and extract image phenotypes from time series data.
Application for classifying Tetralogy of Fallot based on Cine MRI
Application for distinguishing HIV-Associated Neurocognitive Disorder from Mild Cognitive Impairment based on structural MRI
- ALSPCA: A Package for Finding Sparse Principal Components MATLAB code
This is a MATLAB package that aims at finding sparse and nearly uncorrelated principal components with orthogonal loading vectors while explaining as much of the total variance as possible.
- PDSparse: Packages for solving sparse approximation related problems MATLAB code
This contains three packages which solve the sparse logistic regression problem, the sparse inverse covariance selection problem and the compressed sensing problem, respectively.
- PDRank: Packages for solving rank minimization related problems MATLAB code
This contains two packages which solve matrix completion and nearest low-rank correlation matrix problems, respectively.
- ADMDS: A Package for Finding Dantzig Selectors MATLAB code
This is a MATLAB package that aims at finding the Dantzig Selectors which has been justified on detailed statistical grounds.