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» A Bayesian Approach to Tackling Hard Computational Problems
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VISAPP
2010
13 years 5 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
ICML
2005
IEEE
14 years 8 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
EVOW
2004
Springer
14 years 25 days ago
Scatter Search and Memetic Approaches to the Error Correcting Code Problem
We consider the problem of designing error correcting codes (ECC), a hard combinatorial optimization problem of relevance in the field of telecommunications. This problem is tackl...
Carlos Cotta
RECOMB
2008
Springer
14 years 7 months ago
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag R...
ICCV
2005
IEEE
14 years 1 months ago
A Unifying Approach to Hard and Probabilistic Clustering
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
Ron Zass, Amnon Shashua