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  • L. Wolf
  • 1988
Analytic, iterative and constructive design strategies for binary discrete-time recursive nets with synchronous update are discussed. The authors find that first-order correlation nets can be designed to exhibit a number of stable resonance modes which act as cyclic attractors. These modes represent information encoded in the network and can be used to(More)
The Problem: This project addresses the gap between variable selection algorithms and dimension-ality reduction algorithms. Variable selection algorithms are designed to produce sparse solutions where only few variable are marked as relevant variables. This is not suitable for highly correlated data such as gray values of an image. Dimensionality reduction(More)
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