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FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
13 years 11 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
NOMS
2010
IEEE
195views Communications» more  NOMS 2010»
13 years 6 months ago
Using linked data for systems management
—Integration of data from multiple sources makes it possible to build effective systems management solutions. Despite the expected benefits, data integration remains a challenge....
Metin Feridun, Axel Tanner
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
BMCBI
2011
13 years 2 months ago
LabKey Server: An open source platform for scientific data integration, analysis and collaboration
Background: Broad-based collaborations are becoming increasingly common among disease researchers. For example, the Global HIV Enterprise has united cross-disciplinary consortia t...
Elizabeth K. Nelson, Britt Piehler, Josh Eckels, A...
ECCV
2010
Springer
14 years 1 days ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...