Search results for "cellular neural nets"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Guoxiang Liu, Shunichiro Oe	Texture image segmentation method based on multilayer CNN.	ICTAI	2000	DBLP DOI BibTeX RDF	texture image segmentation method, texture feature extraction method, simple texel scale feature, binary image processing, pixel gray value, texel frequency, texel orientation features, texture edge integration problem, binary value line processing problems, line thinning, line shortening, multilayer cellular neural network, image segmentation, feature extraction, scale, multilayer perceptrons, image texture, hole filling, cellular neural nets
1	K. K. Lai, P. H. W. Leong	An area efficient implementation of a cellular neural network.	ANNES	1995	DBLP DOI BibTeX RDF	area efficient implementation, time multiplexing scheme, higher density implementations, neural circuits, simulation, VLSI, edge detection, edge detection, circuit analysis computing, VLSI circuits, cellular neural network, neural chips, cellular logic, cellular neural nets
1	Eric Y. Chou, Bing J. Sheu, Tony H. Wu, Robert C. Chang	VLSI design of densely-connected array processors. (PDF / PS)	ICCD	1995	DBLP DOI BibTeX RDF	densely-connected array processors, paralleled array processors, real-time signal processing, problem mapping, high potential computational bandwidth, local interconnection, synaptic operators, CNN processing engine, hardware design problems, CNN accelerator design, digital-programmable synapses, flexible digital interface, current-mode CMOS circuits, 2.0 /spl mu/m CMOS technology, edge detection operation, image processing, image processing, parallel processing, VLSI, edge detection, signal processing, VLSI design, heterogeneous computing, CMOS integrated circuits, cellular neural networks, cellular neural nets
1	Wai-Chi Fang, Bing J. Sheu, Holger Venus, Rainer Sandau	Smart-pixel array processors based on optimal cellular neural networks for space sensor applications. (PDF / PS)	ICCD	1995	DBLP DOI BibTeX RDF	artificial satellites, smart-pixel array processors, optimal cellular neural networks, space sensor applications, hardware annealing, digitally programmable synaptic weights, multisensor parallel interface, programmable multi-dimensional array, optoelectronic neurons, neuroprocessor, scalable multiprocessor system, intelligent multisensor, advanced small satellites, neuroprocessor array chip, performance evaluation, real-time systems, parallel processing, CMOS technology, image sensors, aerospace computing, computing performance, neural chips, neural net architecture, intelligent sensors, active-pixel sensors, cellular neural nets
1	Bilge Günsel, Cüneyt Güzelis	Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework. (PDF / PS)	ICIP	1995	DBLP DOI BibTeX RDF	regularization cost function, quadratic cost function, connection weights, recurrent perceptron learning algorithm, bipolar binary output mode, noisy image restoration, learning (artificial intelligence), parameter estimation, parameter estimation, image restoration, image restoration, regularization, adaptive systems, supervised learning, multilayer perceptrons, experimental results, learning systems, adaptive learning, Lyapunov function, median filter, cellular neural networks, smoothing methods, smoothing parameters, recurrent neural nets, cellular neural nets