Learning invariant face recognition from examples

Author:

Müller Marco K.,Tremer Michael,Bodenstein Christian,Würtz Rolf P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference40 articles.

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2. Learning viewpoint-invariant face representations from visual experience in an attractor network;Bartlett;Network: Computation in Neural Systems,1998

3. Bodenstein, C. (2011). Theory and continuous time implementation of a spike time based neural network. B.Sc. Thesis. ET-IT Dept., Univ. of Bochum, Germany.

4. A comparative study of preprocessing mismatch effects in color image based face recognition;Choi;Pattern Recognition,2011

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

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