Now showing items 1-4 of 4

• #### An alternating direction and projection algorithm for structure-enforced matrix factorization ﻿

(2017)
Structure-enforced matrix factorization (SeMF) represents a large class of mathematical models appearing in various forms of principal component analysis, sparse coding, dictionary learning and other machine learning ...
• #### An Efficient Gauss--Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations ﻿

(2015)
We derive and study a Gauss--Newton method for computing a symmetric low-rank product $XX^{{T}}$, where $X \in{\mathbb{R}}^{n\times k}$ for $k<n$, that is the closest to a given symmetric matrix \$A \in{\mathbb{R}}^{n\times ...
• #### Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions ﻿

(2013)
In many data-intensive applications, the use of principal component analysis and other related techniques is ubiquitous for dimension reduction, data mining, or other transformational purposes. Such transformations often ...
• #### A New Compressive Video Sensing Framework for Mobile Broadcast ﻿

(2013-03)
A new video coding method based on compressive sampling is proposed. In this method, a video is coded using compressive measurements on video cubes. Video reconstruction is performed by minimization of total variation ...