Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm

Author:

Escalante-B. Alberto N.,Wiskott Laurenz

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference32 articles.

1. Lecture notes in computer science;P Berkes,2005

2. Berkes P (2005) Pattern recognition with slow feature analysis. Cognitive Sciences EPrint Archive (CogPrints). http://cogprints.org/4104/

3. Berkes P, L W (2005) Slow feature analysis yields a rich repertoire of complex cell properties. J Vis 5(6):579–602

4. Blaschke T, Berkes P, Wiskott L (2006) What is the relationship between slow feature analysis and independent component analysis? Neural Comput 18(10):2495–2508

5. Bray A, Martinez D (2003) Kernel-based extraction of slow features: complex cells learn disparity and translation invariance from natural images. In: NIPS, vol 15. MIT Press, Cambridge, pp 253–260

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