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CGF
2010
171views more  CGF 2010»
14 years 9 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
129
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JMLR
2010
165views more  JMLR 2010»
14 years 7 months ago
Feature Selection: An Ever Evolving Frontier in Data Mining
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
100
Voted
EUROSYS
2008
ACM
15 years 9 months ago
Samurai: protecting critical data in unsafe languages
Programs written in type-unsafe languages such as C and C++ incur costly memory errors that result in corrupted data structures, program crashes, and incorrect results. We present...
Karthik Pattabiraman, Vinod Grover, Benjamin G. Zo...
134
Voted
MOBICOM
2005
ACM
15 years 6 months ago
MoB: a mobile bazaar for wide-area wireless services
We introduce MoB, an infrastructure for collaborative wide-area wireless data services. MoB proposes to change the current model of data services in the following fundamental ways...
Rajiv Chakravorty, Sulabh Agarwal, Suman Banerjee,...
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 4 months ago
Semi-supervised Text Classification Using Partitioned EM
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...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
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