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» An Efficient Sparse Regularity Concept
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CVPR
2008
IEEE
14 years 11 months ago
Joint data alignment up to (lossy) transformations
Joint data alignment is often regarded as a data simplification process. This idea is powerful and general, but raises two delicate issues. First, one must make sure that the usef...
Andrea Vedaldi, Gregorio Guidi, Stefano Soatto
INTERSPEECH
2010
13 years 4 months ago
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method
Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing is desired to enhance the separation quality. An e...
Wenye Ma, Meng Yu, Jack Xin, Stanley Osher
TMI
2008
116views more  TMI 2008»
13 years 9 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
IPPS
1999
IEEE
14 years 2 months ago
A Novel Compilation Framework for Supporting Semi-Regular Distributions in Hybrid Applications
This paper explains how efficient support for semiregular distributions can be incorporated in a uniform compilation framework for hybrid applications. The key focus of this work ...
Dhruva R. Chakrabarti, Prithviraj Banerjee
ICML
2005
IEEE
14 years 10 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...