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» Deriving quantitative models for correlation clusters
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ICDE
2003
IEEE
247views Database» more  ICDE 2003»
15 years 11 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010
JWSR
2007
114views more  JWSR 2007»
14 years 9 months ago
Development of Distance Measures for Process Mining, Discovery and Integration
: Business processes continue to play an important role in today’s service-oriented enterprise computing systems. Mining, discovering, and integrating process-oriented services h...
Joonsoo Bae, Ling Liu, James Caverlee, Liang-Jie Z...
88
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MICCAI
2009
Springer
15 years 10 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
QEST
2008
IEEE
15 years 4 months ago
KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes
We present the KPC-Toolbox, a collection of Matlab scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. We first present detailed sen...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
BC
2008
58views more  BC 2008»
14 years 9 months ago
Resolving the dynamics of EEG generators by multichannel recordings
The voltage recorded over the cortex (ECoG) or over the scalp (EEG) is generated by currents derived from many sources called "generators". Different patterns and amplit...
Lilach Avitan, Mina Teicher, Moshe Abeles