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PODS
2006
ACM
107views Database» more  PODS 2006»
15 years 11 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
IRAL
2003
ACM
15 years 5 months ago
Keyword-based document clustering
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
Seung-Shik Kang
CVPR
2010
IEEE
15 years 8 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
ICPR
2008
IEEE
15 years 6 months ago
Multi-stage branch-and-bound for maximum variance disparity clustering
A split-and-merge framework based on a maximum variance criterion is proposed for disparity clustering. The proposed algorithm transforms low-level stereo disparity information to...
Ninad Thakoor, Venkat Devarajan, Jean Gao
CLUSTER
2001
IEEE
15 years 3 months ago
Numerically-Intensive "Plug-and-Play" Parallel Computing
At UCLA's Plasma Physics Group, we have been successful in building and using a numerically-intensive parallel computing cluster using Power Macintosh hardware and the Macint...
Dean E. Dauger, Viktor K. Decyk