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» The Kernel Least-Mean-Square Algorithm
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127
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CVPR
2009
IEEE
16 years 10 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
83
Voted
NIPS
2000
15 years 4 months ago
A Mathematical Programming Approach to the Kernel Fisher Algorithm
We investigate a new kernel
Sebastian Mika, Gunnar Rätsch, Klaus-Robert M...
CVPR
2010
IEEE
15 years 7 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
144
Voted
PAMI
2011
14 years 10 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez