Gorodnichy, D. O. (2009). Evolution and evaluation of biometric systems. Proc. of the IEEE Workshop on Applied Computational Intelligence in Biometrics ...

This paper presents a continuous-time model of Autoassociative Neural Memories (ANMs) which correspond to a modified version of pseudoinverse-type ANMs.

Autoassociative neural networks, like those introduced by Amari [1], Koho- nen [2], Hop eld [3], Personnez [4], are intensively used for pattern recognition.

Jul 19, 2001 · [6] Gorodnichy, D. 0. The optimal Value of Self-connection or. How to Attain the Best Performance with Limited Size. Memory" In Proceedings of ...

1) How to learn a network so that a) it can retrieve as many patterns as possible, and b) it can retrieve them from as much noise as possible; 2) How to ...

initial noisy pattern V noisy. The weights of the network determine ... the initial noise. For example, from Figure 5 it ... [8] D.O. Gorodnichy and A.M. Reznik.

... noise ratio at double EMAT. January 2005. Authors: V.V. Gorodnichy · V.V. Gorodnichy. This person is not on ResearchGate, or hasn't claimed this ...

Dec 15, 2004 · ... [Gorodnichy'97] to retrieve M=0.5N patterns from 8% noise. M=0.7N patterns from 2% noise (for comparison: Hebb rule stops retrieving when M=0.14N).

A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics.

Gorodnichy, “Video-based framework for face recognition in video,” in Second Workshop on Face Processing in Video (FPiV'05) in. Proceedings of Second ...