163 search results - page 15 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
126
Voted
ICDM
2007
IEEE
15 years 10 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...
147
Voted
AAAI
2000
15 years 5 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...
144
Voted
CVPR
2012
IEEE
13 years 6 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...
127
Voted
IJAR
2010
15 years 2 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 ...
141
Voted
NIPS
2003
15 years 5 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...