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» Spectral Latent Variable Models for Perceptual Inference
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ICCV
2007
IEEE
14 years 8 months ago
Spectral Latent Variable Models for Perceptual Inference
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...
CVPR
2009
IEEE
15 years 1 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 7 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 7 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 12 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 ...