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» Conjugate Mixture Models for Clustering Multimodal Data
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CVPR
2005
IEEE
15 years 11 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 3 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
NIPS
2004
14 years 11 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
15 years 3 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
84
Voted
MICCAI
1998
Springer
15 years 1 months ago
Multi-modal Volume Registration Using Joint Intensity Distributions
Abstract. The registration of multimodal medical images is an important tool in surgical applications, since different scan modalities highlight complementary anatomical structures...
Michael E. Leventon, W. Eric L. Grimson