Proceedings of International Conference on Neural Networks (ICNN'97)
DOI: 10.1109/icnn.1997.614147
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Pixel based 3D object recognition with bidirectional associative memories

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Cited by 7 publications
(2 citation statements)
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“…Next we will prove the uniqueness of the equilibrium points u and v, i.e. the equilibrium points x = [0 ··· 0] T and y = [0 ··· 0] T of Equation (3). Assume x, y is a equilibrium point of system (3).…”
Section: Theoremmentioning
confidence: 97%
See 1 more Smart Citation
“…Next we will prove the uniqueness of the equilibrium points u and v, i.e. the equilibrium points x = [0 ··· 0] T and y = [0 ··· 0] T of Equation (3). Assume x, y is a equilibrium point of system (3).…”
Section: Theoremmentioning
confidence: 97%
“…A BAMNN behaves as a two-layer pattern-matched hetero-associative content addressable memory, storing and recalling the pattern pairs [1]. Applications of BAMNN in physical systems include pattern recognition, signal and image process, and automatic control engineering [2,3]. In recent years, artificial neural networks, such as BAMNN, cellular neural networks, Cohen-Grossberg 452 R.-S. GAU, J.-G. HSIEH AND C.-H. LIEN neural networks, and Hopfield neural networks, have been developed to solve various problems and to research in some topics .…”
Section: Introductionmentioning
confidence: 99%