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» Classification with guaranteed probability of error
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PAMI
2007
110views more  PAMI 2007»
13 years 7 months ago
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
—This paper focus on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participa...
Hugo Proença, Luís A. Alexandre
DAGM
2008
Springer
13 years 9 months ago
Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification
Three-dimensional electron-microscopic image stacks with almost isotropic resolution allow, for the first time, to determine the complete connection matrix of parts of the brain. I...
Björn Andres, Ullrich Köthe, Moritz Helm...
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 7 months ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...
TASLP
2002
84views more  TASLP 2002»
13 years 7 months ago
Substate tying with combined parameter training and reduction in tied-mixture HMM design
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
Liang Gu, Kenneth Rose