468 search results - page 20 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
135
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MM
2009
ACM
15 years 8 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
141
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
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...
103
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JMLR
2006
15 years 1 months ago
2006
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
110
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
103
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NIPS
2007
15 years 3 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...