275 search results - page 30 / 55 » Automatically labeling hierarchical clusters |
KDD
2009
ACM
14 years 2 months ago
2009
ACM
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Joint alignment for an image ensemble can rectify images in the spatial domain such that the aligned images are as similar to each other as possible. This important technology has...
NAACL
2004
13 years 9 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...