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PR
2006
127views more  PR 2006»
14 years 9 months ago
On solving the face recognition problem with one training sample per subject
The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key te...
Jie Wang, Kostas N. Plataniotis, Juwei Lu, Anastas...
TCBB
2008
126views more  TCBB 2008»
14 years 9 months ago
Graphical Models of Residue Coupling in Protein Families
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
TCOM
2010
159views more  TCOM 2010»
14 years 8 months ago
Evolutionary cooperative spectrum sensing game: how to collaborate?
—Cooperative spectrum sensing has been shown to be able to greatly improve the sensing performance in cognitive radio networks. However, if cognitive users belong to different se...
Beibei Wang, K. J. Ray Liu, T. Charles Clancy
BMVC
2010
14 years 7 months ago
Person Re-Identification by Support Vector Ranking
Solving the person re-identification problem involves matching observations of individuals across disjoint camera views. The problem becomes particularly hard in a busy public sce...
Bryan Prosser, Wei-Shi Zheng, Shaogang Gong, Tao X...
ACCV
2010
Springer
14 years 4 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan