238 search results - page 17 / 48 » Conjugate Mixture Models for Clustering Multimodal Data |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
92
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GFKL
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
100
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KDD
2004
ACM
15 years 10 months ago
2004
ACM
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
73
Voted
NIPS
2001
14 years 11 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...