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CVPR
2004
IEEE
14 years 11 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
CORR
2010
Springer
99views Education» more  CORR 2010»
13 years 9 months ago
Efficient Matrix Completion with Gaussian Models
A general framework based on Gaussian models and a MAPEM algorithm is introduced in this paper for solving matrix/table completion problems. The numerical experiments with the sta...
Flavien Léger, Guoshen Yu, Guillermo Sapiro
ICML
2000
IEEE
14 years 10 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
NIPS
2004
13 years 11 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang