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165
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SIAMIS
2011
14 years 10 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
137
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ICML
2009
IEEE
16 years 4 months ago
Nonparametric factor analysis with beta process priors
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
John William Paisley, Lawrence Carin
165
Voted
NIPS
2000
15 years 5 months ago
On Reversing Jensen's Inequality
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
Tony Jebara, Alex Pentland
119
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IJCV
2006
116views more  IJCV 2006»
15 years 3 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
CADE
2007
Springer
16 years 3 months ago
Hyper Tableaux with Equality
Abstract. In most theorem proving applications, a proper treatment of equational theories or equality is mandatory. In this paper we show how to integrate a modern treatment of equ...
Björn Pelzer, Peter Baumgartner, Ulrich Furba...