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» Hierarchical Gaussian process latent variable models
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DCC
2010
IEEE
13 years 11 months ago
Tanner Graph Based Image Interpolation
This paper interprets image interpolation as a channel decoding problem and proposes a tanner graph based interpolation framework, which regards each pixel in an image as a variab...
Ruiqin Xiong, Wen Gao
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 3 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
PAMI
2008
156views more  PAMI 2008»
13 years 6 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
JBCB
2007
161views more  JBCB 2007»
13 years 6 months ago
On Cooperative Quasi-Equilibrium Models of transcriptional Regulation
Mechanistic models for transcriptional regulation are derived using the methods of equilibrium statistical mechanics, to model equilibrating processes that occur at a fast time sc...
Eric Mjolsness
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
14 years 26 days ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka