Empirical Inference
Technical Report
2010
Sparse nonnegative matrix approximation: new formulations and algorithms
PDF
Empirical Inference
Empirical Inference
We introduce several new formulations for sparse nonnegative matrix approximation. Subsequently, we solve these formulations by developing generic algorithms. Further, to help selecting a particular sparse formulation, we briefly discuss the interpretation of each formulation. Finally, preliminary experiments are presented to illustrate the behavior of our formulations and algorithms.
| Author(s): | Tandon, R. and Sra, S. |
| Links: | |
| Number (issue): | 193 |
| Year: | 2010 |
| Month: | September |
| Day: | 0 |
| Bibtex Type: | Technical Report (techreport) |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| Institution: | Max Planck Institute for Biological Cybernetics, Tübingen, Germany |
| Language: | en |
| Organization: | Max-Planck-Gesellschaft |
| School: | Biologische Kybernetik |
BibTex
@techreport{6764,
title = {Sparse nonnegative matrix approximation: new formulations and algorithms},
abstract = {We introduce several new formulations for sparse nonnegative matrix approximation. Subsequently,
we solve these formulations by developing generic algorithms. Further, to help selecting a particular sparse formulation,
we briefly discuss the interpretation of each formulation. Finally, preliminary experiments are presented
to illustrate the behavior of our formulations and algorithms.},
number = {193},
organization = {Max-Planck-Gesellschaft},
institution = {Max Planck Institute for Biological Cybernetics, Tübingen, Germany},
school = {Biologische Kybernetik},
month = sep,
year = {2010},
slug = {6764},
author = {Tandon, R. and Sra, S.},
month_numeric = {9}
}