1683 search results - page 41 / 337 » Learning with Mixtures of Trees |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
WACV
2008
IEEE
14 years 2 months ago
2008
IEEE
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
KDD
2007
ACM
14 years 2 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
COLING
1996
13 years 9 months ago
1996
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...