270 search results - page 39 / 54 » Hierarchical Gaussian process latent variable models |
101
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CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
113
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SIGIR
2004
ACM
15 years 5 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
DATE
2009
IEEE
15 years 6 months ago
2009
IEEE
— Statistical static timing analysis deals with the increasing variations in manufacturing processes to reduce the pessimism in the worst case timing analysis. Because of the cor...
114
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ICA
2010
Springer
15 years 23 days ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
NIPS
2004
15 years 1 months ago
2004
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...