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» Using Clustering Methods for Discovering Event Structures
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BMCBI
2008
115views more  BMCBI 2008»
15 years 2 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
CVPR
2004
IEEE
16 years 4 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
JCP
2006
111views more  JCP 2006»
15 years 2 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
ASPDAC
1999
ACM
113views Hardware» more  ASPDAC 1999»
15 years 6 months ago
An Efficient Iterative Improvement Technique for VLSI Circuit Partitioning Using Hybrid Bucket Structures
In this paper, we present a fast and efficient Iterative Improvement Partitioning (IIP) technique for VLSI circuits and hybrid bucket structures on its implementation. Due to thei...
C. K. Eem, J. W. Chong
143
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 2 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan