Using Spatio-temporal Correlations to Learn Invariant Object Recognition

Author:

Wallis Guy

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference21 articles.

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2. Learning invariance from transformation sequences;Földiák;Neural Computation,1991

3. Földiák, P. (1992). Models of sensory coding (Tech. rept. CUED/F-INFENG/TR 91). University of Cambridge, Department of Engineering.

4. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position;Fukushima;Biological Cybernetics,1980

5. Neocognitron: A hierarchical neural network model capable of visual pattern recognition unaffected by shift in position;Fukushima;Neural Networks,1988

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