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» Adaptive MCMC with Bayesian Optimization
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SODA
2010
ACM
201views Algorithms» more  SODA 2010»
14 years 4 months ago
Incentive Compatible Budget Elicitation in Multi-unit Auctions
In this paper, we consider the problem of designing incentive compatible auctions for multiple (homogeneous) units of a good, when bidders have private valuations and private budg...
Sayan Bhattacharya, Vincent Conitzer, Kamesh Munag...
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
13 years 10 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
PAMI
2010
207views more  PAMI 2010»
13 years 1 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
CIVR
2007
Springer
128views Image Analysis» more  CIVR 2007»
14 years 1 months ago
3D-Model search engine from photos
In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model ...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
ECCV
2004
Springer
14 years 8 months ago
Decision Theoretic Modeling of Human Facial Displays
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
Jesse Hoey, James J. Little