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ICA
2004
Springer
15 years 7 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
ICASSP
2009
IEEE
15 years 8 months ago
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks
Resource limitations in wireless sensor networks have put stringent constraints on distributed signal processing. In this paper, we propose a cluster-based decentralized variation...
Jing Teng, Hichem Snoussi, Cédric Richard
ICIP
2007
IEEE
15 years 8 months ago
Retina Layer Segmentation and Spatial Alignment of Antibody Expression Levels
The expression levels of rod opsin and glial fibrillary acidic protein (GFAP) capture important structural changes in the retina during injury and recovery. Quantitatively measur...
Nhat Vu, Pratim Ghosh, B. S. Manjunath
SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
14 years 4 months ago
Nonparametric Bayesian Co-clustering Ensembles
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
NIPS
2008
15 years 3 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan