Results 271 to 280 of about 1,566,699 (318)

Semisupervised Kernel Matrix Learning by Kernel Propagation

IEEE Transactions on Neural Networks, 2010
The goal of semisupervised kernel matrix learning (SS-KML) is to learn a kernel matrix on all the given samples on which just a little supervised information, such as class label or pairwise constraint, is provided. Despite extensive research, the performance of SS-KML still leaves some space for improvement in terms of effectiveness and efficiency ...
Enliang, Hu, Songcan, Chen, Daoqiang, Zhang, Xuesong, Yin   +3 more
openaire   +2 more sources

Multiple Kernel Sparse Representation Based Gaussian Kernel and Power Kernel

2015 8th International Symposium on Computational Intelligence and Design (ISCID), 2015
Sparse representation classification (SRC) and kernel method have been successfully used in pattern recognition. On account of the limitations of the single kernel function, we proposed multiple kernel sparse classification method in face recognition to improve human face recognition rate.
Yanyong Zhu, Jiwen Dong, Hengjian Li
openaire   +1 more source

Partitionable Kernels for Mapping Kernels

2011 IEEE 11th International Conference on Data Mining, 2011
Many of tree kernels in the literature are designed tanking advantage of the mapping kernel framework. The most important advantage of using this framework is that we have a strong theorem to examine positive definiteness of the resulting tree kernels.
openaire   +1 more source

Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods

Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, 2002
Principal Component A nalysis and Fisher Linear Discriminant methods have demonstrated their success in fac edete ction, r ecognition and tr acking. The representations in these subspace methods are based on second order statistics of the image set, and do not address higher order statistical dependencies such as the relationships among three or more ...
openaire   +1 more source

An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods

The AI Magazine, 2001
Tong Zhang
semanticscholar   +1 more source

A Kernel Two-Sample Test

Journal of machine learning research, 2012
A. Gretton, Karsten M. Borgwardt, M. Rasch, B. Scholkopf, Alex Smola   +4 more
semanticscholar   +1 more source

Kernel methods for estimating the utilization distribution in home-range studies

, 1989
B. Worton
semanticscholar   +1 more source

kernelled | kerneled, adj.¹

2023
openaire   +1 more source

Advances in kernel methods: support vector learning

, 1999
B. Scholkopf, C. Burges, Alex Smola
semanticscholar   +1 more source

An introduction to kernel-based learning algorithms

IEEE Trans. Neural Networks, 2001
K. Müller, S. Mika, Gunnar Rätsch, K. Tsuda, B. Scholkopf   +4 more
semanticscholar   +1 more source