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» The Bayesian inference of phase
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145
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TCBB
2008
115views more  TCBB 2008»
15 years 3 months ago
Highly Scalable Genotype Phasing by Entropy Minimization
A Single Nucleotide Polymorphism (SNP) is a position in the genome at which two or more of the possible four nucleotides occur in a large percentage of the population. SNPs accoun...
Alexander Gusev, Ion I. Mandoiu, Bogdan Pasaniuc
128
Voted
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 3 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
138
Voted
ICDAR
2007
IEEE
15 years 10 months ago
A Shared Parts Model for Document Image Recognition
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
M. Das Gupta, P. Sarkar
156
Voted
JMLR
2010
218views more  JMLR 2010»
14 years 10 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
CVPR
2004
IEEE
16 years 5 months ago
Video Repairing: Inference of Foreground and Background under Severe Occlusion
In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...