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» An ICA algorithm for analyzing multiple data sets
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191
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TON
2012
13 years 5 months ago
Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks
Abstract—Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important perfo...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang...
130
Voted
ALMOB
2006
106views more  ALMOB 2006»
15 years 2 months ago
Multiple sequence alignment with user-defined anchor points
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...
153
Voted
SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 5 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
97
Voted
CIMCA
2005
IEEE
15 years 8 months ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras
157
Voted
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 4 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...