Sparse shift-invariant NMF

Authors:
Vamsi K. Potluru;Sergey M. Plis;Vince D. Calhoun
Affiliations:
MIND Research Network, Dept. of Comp Science, Univ of New Mexico, ismav@cs.unm.edu;Dept. of Comp Science, Univ of NewMexico, pliz@cs.unm.edu;MIND Research Network, Dept. of Elec and Comp Engg, Univ of New Mexico, vcalhoun@unm.edu
Venue:
SSIAI '08 Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation
Year:
2008

Citing 0
Cited 2

Learning hierarchical dictionary for shape patterns

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Correlated Noise: How it Breaks NMF, and What to Do About it

Journal of Signal Processing Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

There is a need to develop automated methods to analyze images. A method that relies on the Helmholtz principle to discover edge features that is weakly dependent on the parameters is presented. An application of the Helmholtz principle requires a method ...