163 search results - page 15 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
ICDM
2007
IEEE
15 years 6 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...
102
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AAAI
2000
15 years 1 months ago
2000
We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
102
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Modeling representations of image patches that are quasi-invariant to spatial deformations is an important problem in computer vision. In this paper, we propose a novel concept, t...
IJAR
2010
14 years 10 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
104
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NIPS
2003
15 years 1 months ago
2003
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...