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» The Kernel Least-Mean-Square Algorithm
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CVPR
2009
IEEE
16 years 7 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
NIPS
2000
15 years 1 months ago
A Mathematical Programming Approach to the Kernel Fisher Algorithm
We investigate a new kernel
Sebastian Mika, Gunnar Rätsch, Klaus-Robert M...
118
Voted
CVPR
2010
IEEE
15 years 4 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
116
Voted
PAMI
2011
14 years 7 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