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ICA
2004
Springer
15 years 7 months ago
Some Gradient Based Joint Diagonalization Methods for ICA
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
Bijan Afsari, Perinkulam S. Krishnaprasad
122
Voted
CORR
2007
Springer
194views Education» more  CORR 2007»
15 years 1 months ago
Algebraic Signal Processing Theory: Cooley-Tukey Type Algorithms for DCTs and DSTs
Abstract—This paper presents a systematic methodology to derive and classify fast algorithms for linear transforms. The approach is based on the algebraic signal processing theor...
Markus Püschel, José M. F. Moura
107
Voted
CVPR
1999
IEEE
15 years 5 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
ICIP
2009
IEEE
14 years 11 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
CPM
2010
Springer
120views Combinatorics» more  CPM 2010»
15 years 6 months ago
Mod/Resc Parsimony Inference
Abstract. We address in this paper a new computational biology problem that aims at understanding a mechanism that could potentially be used to genetically manipulate natural insec...
Igor Nor, Danny Hermelin, Sylvain Charlat, Jan Eng...