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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
Sign Up to like & get
recommendations!
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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