8 search results - page 1 / 2 » Evolutionary Clustering by Hierarchical Dirichlet Process wi... |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
NIPS
2001
13 years 6 months ago
2001
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
PAKDD
2009
ACM
13 years 9 months ago
2009
ACM
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...