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» An extension of the ICA model using latent variables
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CSDA
2010
194views more  CSDA 2010»
13 years 4 months ago
A clipped latent variable model for spatially correlated ordered categorical data
We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially co...
Megan Dailey Higgs, Jennifer A. Hoeting
ISVC
2009
Springer
13 years 11 months ago
Speech-Driven Facial Animation Using a Shared Gaussian Process Latent Variable Model
Abstract. In this work, synthesis of facial animation is done by modelling the mapping between facial motion and speech using the shared Gaussian process latent variable model. Bot...
Salil Deena, Aphrodite Galata
ICML
2007
IEEE
14 years 5 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
13 years 8 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
CVPR
2012
IEEE
11 years 7 months ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis