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ICMLA
2009
14 years 9 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
JMLR
2010
129views more  JMLR 2010»
14 years 6 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
ISSRE
2010
IEEE
14 years 9 months ago
A Large-Scale Industrial Case Study on Architecture-Based Software Reliability Analysis
—Architecture-based software reliability analysis methods shall help software architects to identify critical software components and to quantify their influence on the system r...
Heiko Koziolek, Bastian Schlich, Carlos G. Bilich
CVPR
2004
IEEE
16 years 1 months ago
Automatic Cascade Training with Perturbation Bias
Face detection methods based on a cascade architecture have demonstrated fast and robust performance. Cascade learning is aided by the modularity of the architecture in which node...
Jie Sun, James M. Rehg, Aaron F. Bobick
TNN
2010
205views Management» more  TNN 2010»
14 years 6 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu