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A neural network model for a mechanism of visual pattern recognition is proposed in this paper. The network is self-organized by “learning without a teacher”, and acquires an ability to recognize.
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Pattern Recognition - Analysis and Applications. Edited by: S. Ramakrishnan. ISBN 978-953-51-2803-8, Eisbn 978-953-51-2804-5, PDF ISBN 978-953-51-5790-8, Published 2016-12-14
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Course 495: Advanced Statistical Machine Learning/Pattern Recognition Deterministic Component Analysis Goal (Lecture): To present standard and modern Component Analysis (CA) techniques such as Principal Pattern recognition is the automated recognition of patterns and regularities in data. Pattern recognition is closely related to artificial intelligence and machine learning, together with applications such as data mining and knowledge…
13 Jul 2012 Publication: MLDM'12: Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern RecognitionJuly 2012
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