A novel learning algorithm for pattern association in a recurrent neural network is proposed in this paper. Unlike the conventional model in which the ...
Our experiments with human skin color demonstrate that the proposed learning rule can learn and characterize skin color precisely as a nonlinear line attractor.
A novel learning algorithm for pattern association in a recurrent neural network in which the memory is stored in an attractive fixed point at discrete ...
Apr 25, 2024 · Recurrent Network as a Nonlinear Line Attractor for Skin Color Association. ISNN (1) 2004: 870-875. [c6]. view. electronic edition via DOI ...
Recurrent network as a nonlinear line attractor for pattern association. A new learning algorithm for pattern association in a recurrent neural network is ...
Seow, M.-J. and Asari, V. K. (2004). Recurrent network as a nonlinear line attractor for skin color association. In Advances in Neural Networks-ISNN ...
A novel method to map high dynamic range scenes to low dynamic range images utilizing the concept of color characterization, enhancement, and balancing is ...
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Recurrent Network as a Nonlinear Line Attractor for Skin Color Association ... A novel learning algorithm for pattern association in a recurrent neural network is ...
Asari, "Recurrent network as a nonlinear line attractor for skin color association," Lecture Notes in Computer Science, vol. 3173/2004, pp. 870-875, 2004 ...
We propose to use a recurrent neural network, the nonlinear line attractor (NLA) network, for the encoding of these manifolds as specific states, which will ...