VLSI neural networks for computer vision

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[1]  H. Martin Reekie,et al.  Pulse-Firing VLSI Neural Circuits for Fast Image Pattern Recognition , 1991 .

[2]  R.P. Lippmann,et al.  Pattern classification using neural networks , 1989, IEEE Communications Magazine.

[3]  Babak Hassibi,et al.  Second Order Derivatives for Network Pruning: Optimal Brain Surgeon , 1992, NIPS.

[4]  Christian Lebiere,et al.  The Cascade-Correlation Learning Architecture , 1989, NIPS.

[5]  Edward A. Rietman,et al.  Back-propagation learning and nonidealities in analog neural network hardware , 1991, IEEE Trans. Neural Networks.

[6]  Lawrence D. Jackel,et al.  An analog neural network processor with programmable topology , 1991 .

[7]  R. Hecht-Nielsen,et al.  Neurocomputing: picking the human brain , 1988, IEEE Spectrum.

[8]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[9]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[10]  Lloyd W. Massengill,et al.  An analog neural hardware implementation using charge-injection multipliers and neutron-specific gain control , 1992, IEEE Trans. Neural Networks.

[11]  Alan F. Murray,et al.  Asynchronous arithmetic for VLSI neural systems , 1987 .

[12]  Markus Höhfeld,et al.  Learning with limited numerical precision using the cascade-correlation algorithm , 1992, IEEE Trans. Neural Networks.

[13]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[14]  E. D. Dickmanns,et al.  A Curvature-based Scheme for Improving Road Vehicle Guidance by Computer Vision , 1987, Other Conferences.

[15]  James D. Keeler,et al.  A Self-Organizing Integrated Segmentation and Recognition Neural Net , 1991, NIPS.

[16]  Richard S. Zemel,et al.  Learning to Segment Images Using Dynamic Feature Binding , 1991, Neural Computation.

[17]  Stephen Grossberg,et al.  A massively parallel architecture for a self-organizing neural pattern recognition machine , 1988, Comput. Vis. Graph. Image Process..

[18]  Michael C. Mozer,et al.  Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment , 1988, NIPS.

[19]  Alister Hamilton,et al.  Pulse stream VLSI circuits and techniques for the implementation of neural networks , 1993 .

[20]  S. Esener,et al.  A scalable optoelectronic neural system using free-space optical interconnects , 1992, IEEE Trans. Neural Networks.

[21]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[22]  D. O. Hebb,et al.  The organization of behavior , 1988 .

[23]  Karl Sammut,et al.  Toroidal Neural Network: Architecture and Processor Granularity Issues , 1991 .

[24]  Donald J. Baxter.  Process-tolerant VLSI neural networks for applications in optimisation , 1993 .

[25]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry , 1969 .

[26]  A. Rosenfeld.  Computer vision: Signals, segments, and structures , 1984, IEEE ASSP Magazine.

[27]  B. Widrow,et al.  Generalization and information storage in network of adaline 'neurons' , 1962 .

[28]  Jan Van der Spiegel,et al.  Design and Fabrication of VLSI Components for a General Purpose Analog Neural Computer , 1989, Analog VLSI Implementation of Neural Systems.

[29]  A. Murray.  Pulse techniques in neural VLSI: a review , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

[30]  Alan F. Murray,et al.  Towards a Generic Neurocomputing Architecture , 1991 .

[31]  Erik L. Dagless,et al.  Road edge tracking for robot road following: a real-time implementation , 1990, Image Vis. Comput..

[32]  Matthew Turk,et al.  VITS-A Vision System for Autonomous Land Vehicle Navigation , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[33]  Steve Renals,et al.  Neural networks for speech pattern classification , 1989 .

[34]  Alan F. Murray,et al.  PULSED SILICON NEURAL NETWORKS - FOLLOWING THE BIOLOGICAL LEADER - , 1991 .

[35]  Peter B. Denyer,et al.  A single chip sensor and image processor for fingerprint verification , 1991, Proceedings of the IEEE 1991 Custom Integrated Circuits Conference.

[36]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[37]  D. Jared,et al.  Optically addressed thresholding very-large-scale-integration/liquid-crystal spatial light modulators. , 1991, Optics letters.

[38]  Alan F. Murray,et al.  VLSI Bit-Serial Neural Networks , 1989 .

[39]  Alan F. Murray,et al.  Innovations in Pulse Stream Neural VLSI : Arithmetic and Communications , 1990 .

[40]  John J. Paulos,et al.  The Effects of Precision Constraints in a Backpropagation Learning Network , 1990, Neural Computation.

[41]  Dan Hammerstrom.  A Highly Parallel Digital Architecture for Neural Network Emulation , 1991 .

[42]  Alan F. Murray,et al.  Generic Analog Neural Computation - The Epsilon Chip , 1992, NIPS.

[43]  J. G. McWhirter,et al.  A parallel architecture for nonlinear adaptive filtering and pattern recognition , 1989 .

[44]  Alan F. Murray,et al.  Integrated pulse stream neural networks: results, issues, and pointers , 1992, IEEE Trans. Neural Networks.