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» Wavelet based preconditioners for sparse linear systems
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ICA
2007
Springer
14 years 2 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
ISBI
2008
IEEE
14 years 8 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
IJCAI
2007
13 years 9 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
TOG
2008
94views more  TOG 2008»
13 years 8 months ago
Wavelet turbulence for fluid simulation
We present a novel wavelet method for the simulation of fluids at high spatial resolution. The algorithm enables large- and smallscale detail to be edited separately, allowing hig...
Theodore Kim, Nils Thürey, Doug L. James, Mar...
ICASSP
2011
IEEE
12 years 11 months ago
Speaker verification using sparse representation classification
Sparse representations of signals have received a great deal of attention in recent years, and the sparse representation classifier has very lately appeared in a speaker recogniti...
Jia Min Karen Kua, Eliathamby Ambikairajah, Julien...