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SADM
2010
141views more  SADM 2010»
15 years 29 days ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
ICIP
2003
IEEE
16 years 7 months ago
Gesture segmentation in complex motion sequences
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch...
163
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CVPR
2006
IEEE
16 years 8 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
ICPR
2004
IEEE
16 years 7 months ago
Extraction and Clustering of Motion Trajectories in Video
A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clus...
Dan Buzan, George Kollios, Stan Sclaroff
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 11 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis