10.1109/TSMCB.2005.843980IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics353593-606ITSC
A unified least-square kernel (ULK)framework is formulated for both process modeling and fault diagn...
Pattern classification is a very important image processing task. A typical pattern classification a...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
10.1109/ICPR.2004.1334252Proceedings - International Conference on Pattern Recognition2443-446PICR
Abstract—Autoassociators are a special type of neural networks which, by learning to reproduce a giv...
Autoassociator is an important issue in concept learn-ing, and the learned concept of a particular c...
How to use kernel methods in practice.How to control the model complexity.Kernel approximation as a ...
The tutorial is intended to give a broad introduction to the kernel approach to pattern analysis. Th...
10.1109/TSMCB.2005.847745IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics3551...
The model of threshold associative pattern has been developed, the parametrization procedure of corr...
<p>Procedures of adding and removing attractors in kernel autoassociative memory.</p
Abstract. The modeling of system semantics (in several ICT domains) by means of pattern analysis or ...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. ...
10.1109/TSMCB.2004.842247IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics3522...
A unified least-square kernel (ULK)framework is formulated for both process modeling and fault diagn...
Pattern classification is a very important image processing task. A typical pattern classification a...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
10.1109/ICPR.2004.1334252Proceedings - International Conference on Pattern Recognition2443-446PICR
Abstract—Autoassociators are a special type of neural networks which, by learning to reproduce a giv...
Autoassociator is an important issue in concept learn-ing, and the learned concept of a particular c...
How to use kernel methods in practice.How to control the model complexity.Kernel approximation as a ...
The tutorial is intended to give a broad introduction to the kernel approach to pattern analysis. Th...
10.1109/TSMCB.2005.847745IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics3551...
The model of threshold associative pattern has been developed, the parametrization procedure of corr...
<p>Procedures of adding and removing attractors in kernel autoassociative memory.</p
Abstract. The modeling of system semantics (in several ICT domains) by means of pattern analysis or ...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. ...
10.1109/TSMCB.2004.842247IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics3522...
A unified least-square kernel (ULK)framework is formulated for both process modeling and fault diagn...
Pattern classification is a very important image processing task. A typical pattern classification a...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
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