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» Spectral Latent Variable Models for Perceptual Inference
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ICCV
2007
IEEE
14 years 6 months ago
Spectral Latent Variable Models for Perceptual Inference
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...
CVPR
2009
IEEE
14 years 12 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
NIPS
2007
13 years 6 months ago
Modeling homophily and stochastic equivalence in symmetric relational data
This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents ...
Peter Hoff
ESANN
2008
13 years 6 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
ECML
2005
Springer
13 years 10 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...