Optimized Kernel Entropy Components.
Sign Up to like & getrecommendations! Published in 2017 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2016.2530403
Abstract: This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting… read more here.
Keywords: optimized kernel; kernel; kernel parameter; kernel entropy ... See more keywords
Optimized Kernel Entropy Components
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2530403.
Abstract: This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting… read more here.
Keywords: optimized kernel; kernel; kernel parameter; kernel entropy ... See more keywords