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» The Method of Quantum Clustering
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BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
SIGIR
2012
ACM
13 years 9 months ago
Mining query subtopics from search log data
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian...
ICCV
2007
IEEE
15 years 10 months ago
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging
We present a Diffusion Maps clustering method applied to diffusion MRI in order to segment complex white matter fiber bundles. It is well-known that diffusion tensor imaging (DTI)...
Demian Wassermann, Maxime Descoteaux, Rachid Deric...
DAC
2005
ACM
16 years 7 months ago
Power-aware placement
Lowering power is one of the greatest challenges facing the IC industry today. We present a power-aware placement method that simultaneously performs (1) activity-based register c...
Yongseok Cheon, Pei-Hsin Ho, Andrew B. Kahng, Sher...
IJCAI
2007
15 years 8 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler