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» Probabilistic Modeling for Structural Change Inference
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RECOMB
2002
Springer
15 years 10 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
HLK
2003
IEEE
15 years 2 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu
UAI
2003
14 years 11 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
CVPR
2003
IEEE
15 years 11 months ago
Tracking Appearances with Occlusions
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
Ying Wu, Ting Yu, Gang Hua
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RECOMB
2010
Springer
15 years 4 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan