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» Universal Sparse Modeling
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CSC
2006
13 years 7 months ago
Applying Sparse Matrix Solvers to a Glacial Ice Sheet Model
- Two software packages for solving sparse systems of linear equations, SuperLU and UMFPACK, have been integrated with the University of Maine Ice Sheet Model for predicting the fo...
Rodney Jacobs, James Fastook, Aitbala Sargent
TSP
2008
69views more  TSP 2008»
13 years 5 months ago
A Frame Construction and a Universal Distortion Bound for Sparse Representations
Abstract-- We consider approximations of signals by the elements of a frame in a complex vector space of dimension N and formulate both the noiseless and the noisy sparse represent...
Mehmet Akçakaya, Vahid Tarokh
ICASSP
2011
IEEE
12 years 9 months ago
Robust talking face video verification using joint factor analysis and sparse representation on GMM mean shifted supervectors
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
Ming Li, Shrikanth Narayanan
ICASSP
2008
IEEE
14 years 7 days ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
STOC
2000
ACM
112views Algorithms» more  STOC 2000»
13 years 10 months ago
A random graph model for massive graphs
We propose a random graph model which is a special case of sparse random graphs with given degree sequences. This model involves only a small number of parameters, called logsize ...
William Aiello, Fan R. K. Chung, Linyuan Lu