Matlab code of machine learning algorithms in book PRML

SPM (Statistical Parametric Mapping) - Development Version

Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations

Code for multichannel sparse blind deconvolution problem.

A Fast Active Set Method for Solving Large Non-Negative Least Squares Problems

MATLAB codes for computing various tensor decomposition.

A probabilistic modeling toolkit for Matlab/Octave. (Deprecated/old version.)

Benchmarking spike deconvolution without ephys

The current repository provides the code accompanying the KDD 2017 paper "SPARTan: Scalable PARAFAC2 for Large & Sparse Data", by Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard Vuduc, …

MS-Assisted Resolution of Signal

Scheme for training and applying a label propagation framework

The set of files contains the Matlab code for the experiments in the following paper: R. Cai, C. Liu and J. Li, 'Efficient Phase-induced Gabor Cube Selection and Weighted Fusion for Hyperspectral I…

Automatically exported from code.google.com/p/princeton-mvpa-toolbox

This algorithm efficiently solves LASSO and quadratic programs with a two-phase method