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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
11 years 10 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
ICPR
2008
IEEE
14 years 2 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya
CVPR
2011
IEEE
12 years 11 months ago
Adaptive Random Forest - How many ``experts'' to ask before making a decision?
How many people should you ask if you are not sure about your way? We provide an answer to this question for Random Forest classification. The presented method is based on the st...
Alexander Schwing, Christopher Zach, Yefeng Zheng,...
ICASSP
2011
IEEE
12 years 11 months ago
Parallel computation of adaptive lattice filters
Parallel computation of the adaptive lattice filtering algorithm is difficult due to the dependency problem caused by feedback operations. The conventional control-level paralle...
Dong-hwan Lee, Wonyong Sung
CVPR
2008
IEEE
14 years 9 months ago
Probabilistic image registration and anomaly detection by nonlinear warping
Automatic, defect tolerant registration of transmission electron microscopy (TEM) images poses an important and challenging problem for biomedical image analysis, e.g. in computat...
Verena Kaynig, Bernd Fischer, Joachim M. Buhmann