114 search results - page 15 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, we propose a probabilistic videobased facial expression recognition method on manifolds. The concept of the manifold of facial expression is based on the observatio...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
LWA
2007
13 years 9 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
TMM
2008
13 years 7 months ago
2008
Story clustering is a critical step for news retrieval, topic mining, and summarization. Nonetheless, the task remains highly challenging owing to the fact that news topics exhibit...
KDD
2003
ACM
14 years 7 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...