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Proceedings ArticleDOI

A Simple Multiple Kernel Learning for Image Classification

Guo Niu, +2 more
- pp 349-354
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This article is published in International Conference on Electrical and Control Engineering.The article was published on 2016-04-01. It has received 0 citations till now. The article focuses on the topics: Radial basis function kernel & Tree kernel.

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References
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Journal ArticleDOI

Nonlinear component analysis as a kernel eigenvalue problem

TL;DR: A new method for performing a nonlinear form of principal component analysis by the use of integral operator kernel functions is proposed and experimental results on polynomial feature extraction for pattern recognition are presented.
Book

Kernel Methods for Pattern Analysis

TL;DR: This book provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.
Proceedings Article

Learning with Kernels

Proceedings ArticleDOI

Fisher discriminant analysis with kernels

TL;DR: In this article, a non-linear classification technique based on Fisher's discriminant is proposed and the main ingredient is the kernel trick which allows the efficient computation of Fisher discriminant in feature space.
Journal Article

Multiple Kernel Learning Algorithms

TL;DR: Overall, using multiple kernels instead of a single one is useful and it is believed that combining kernels in a nonlinear or data-dependent way seems more promising than linear combination in fusing information provided by simple linear kernels, whereas linear methods are more reasonable when combining complex Gaussian kernels.
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