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FGCS
2006
121views more  FGCS 2006»
15 years 1 months ago
Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter
At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources....
Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, ...
FLAIRS
2004
15 years 3 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 2 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
DASFAA
2009
IEEE
118views Database» more  DASFAA 2009»
15 years 2 months ago
Detecting Aggregate Incongruities in XML
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee
NIPS
2003
15 years 3 months ago
Identifying Structure across Pre-partitioned Data
We propose an information-theoretic clustering approach that incorporates a pre-known partition of the data, aiming to identify common clusters that cut across the given partition...
Zvika Marx, Ido Dagan, Eli Shamir