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ISNN
2011
Springer
14 years 6 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ICIP
2006
IEEE
16 years 5 months ago
Automatic Clustering of Faces in Meetings
Meetings are an integral part of business life for any organization. In previous work, we have developed a physical awareness system called CAMEO (Camera Assisted Meeting Event Ob...
Carlos Vallespí, Fernando De la Torre, Manu...
139
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JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 3 months ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
162
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ICA3PP
2010
Springer
15 years 8 months ago
Accelerating Euler Equations Numerical Solver on Graphics Processing Units
Abstract. Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) pr...
Pierre Kestener, Frédéric Chât...
131
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DASFAA
2007
IEEE
240views Database» more  DASFAA 2007»
15 years 10 months ago
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering
Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic simila...
Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K....