Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/icip/GunselG95
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1995
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Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework.
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learning (artificial intelligence); cellular neural nets; recurrent neural nets; multilayer perceptrons; image restoration; parameter estimation; smoothing methods; adaptive systems; learning systems; smoothing parameters; image restoration; regularization; cellular neural networks; supervised learning; parameter estimation; adaptive learning; regularization cost function; quadratic cost function; connection weights; Lyapunov function; recurrent perceptron learning algorithm; bipolar binary output mode; noisy image restoration; experimental results; median filter
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Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework.
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