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» Statistical Modelling of CSP Solving Algorithms Performance
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ACL
2012
11 years 11 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
BIOID
2008
157views Biometrics» more  BIOID 2008»
13 years 11 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
CORR
2011
Springer
214views Education» more  CORR 2011»
13 years 13 days ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
14 years 5 months ago
An accurate sparse matrix based framework for statistical static timing analysis
Statistical Static Timing Analysis has received wide attention recently and emerged as a viable technique for manufacturability analysis. To be useful, however, it is important th...
Anand Ramalingam, Gi-Joon Nam, Ashish Kumar Singh,...
ICASSP
2011
IEEE
13 years 18 days ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad