191 search results - page 3 / 39 » CDP Mixture Models for Data Clustering |
96
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
IJCAI
2007
14 years 11 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
INFOSCALE
2007
ACM
14 years 11 months ago
2007
ACM
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
IDEAL
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...