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COLT
2005
Springer
15 years 9 months ago
Learning Convex Combinations of Continuously Parameterized Basic Kernels
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
ECML
2004
Springer
15 years 9 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
127
Voted
CVPR
2001
IEEE
16 years 5 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo
MICCAI
2006
Springer
16 years 4 months ago
Detecting Acromegaly: Screening for Disease with a Morphable Model
Acromegaly is a rare disorder which affects about 50 of every million people. The disease typically causes swelling of the hands, feet, and face, and eventually permanent changes t...
Erik G. Learned-Miller, Qifeng Lu, Angela Paisley,...
ICB
2009
Springer
122views Biometrics» more  ICB 2009»
15 years 10 months ago
A New Fake Iris Detection Method
Recent research works have revealed that it is not difficult to spoof an automated iris recognition system using fake iris such as contact lens and paper print etc. Therefore, it i...
XiaoFu He, Yue Lu, Pengfei Shi