Apparatus and method for detecting or recognizing pattern by...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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C706S020000, C706S031000

Reexamination Certificate

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07054850

ABSTRACT:
A pattern detecting apparatus has a plurality of hierarchized neuron elements to detect a predetermined pattern included in input patterns. Pulse signals output from the plurality of neuron elements are given specific delays by synapse circuits associated with the individual elements. This makes it possible to transmit the pulse signals to the neuron elements of the succeeding layer through a common bus line so that they can be identified on a time base. The neuron elements of the succeeding layer output the pulse signals at output levels based on a arrival time pattern of the plurality of pulse signals received from the plurality of neuron elements of the preceding layer within a predetermined time window. Thus, the reliability of pattern detection can be improved, and the number of wires interconnecting the elements can be reduced by the use of the common bus line, leading to a small scale of circuit and reduced power consumption.

REFERENCES:
patent: 4577344 (1986-03-01), Warren et al.
patent: 4876731 (1989-10-01), Loris et al.
patent: 5049758 (1991-09-01), Mead et al.
patent: 5058184 (1991-10-01), Fukushima
patent: 5059814 (1991-10-01), Mead et al.
patent: 5146106 (1992-09-01), Anderson et al.
patent: 5201029 (1993-04-01), Jackson
patent: 5268684 (1993-12-01), Allen et al.
patent: 5594834 (1997-01-01), Wang
patent: 5631469 (1997-05-01), Carrieri et al.
patent: 5664065 (1997-09-01), Johnson
patent: 6081660 (2000-06-01), Macleod et al.
patent: 6088490 (2000-07-01), Iwata et al.
patent: 6178207 (2001-01-01), Richards et al.
patent: 6373859 (2002-04-01), Jedwab et al.
patent: 6654497 (2003-11-01), Kondo et al.
patent: 6678389 (2004-01-01), Sun et al.
patent: 2003/0044073 (2003-03-01), Matsugu et al.
patent: 55-124879 (1980-09-01), None
patent: 5-37317 (1993-02-01), None
patent: 5-108804 (1993-04-01), None
patent: 5-242069 (1993-09-01), None
patent: 6-34236 (1994-05-01), None
patent: 7-262157 (1995-10-01), None
patent: 7-334478 (1995-12-01), None
patent: 8-153148 (1996-06-01), None
patent: 8-153198 (1996-06-01), None
patent: 8-315141 (1996-11-01), None
patent: 8-321747 (1996-12-01), None
patent: 10269345 (1998-10-01), None
patent: 2856702 (1998-11-01), None
patent: 10-327054 (1998-12-01), None
Moore et al; The implementation of a multi-view autostereoscopic display; Stereoscopic Television, IEE Colloquium on; Oct. 15, 1992; pp. 4/1-416.
Yonemoto et al; A 2 million pixel FIT-CCD image sensor for HDTV camera system; Solid-State Circuits Conference. Digest of Technical Papers. 37th ISSCC.; 1990 IEEE International; Feb. 14-16, 1990; pp. 214-215, 299.
Matsugu et al; Estimation Of Information Capacity In Oscillatory Neural Networks; Neural Networks, Proceedings of 1993 International Joint Conference on; vol. 1; Oct. 25-29, 1993; pp. 425-428.
Schneider et al; Parallel pattern recognition using fuzzy cooperative expert systems; Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's; Apr. 1992.
“An Attention Prototype For Early Vision”, by Sean M Culhane, et al., Dept. of Computer Science, University of Toronto, Canada, pp. 551-560.
“A Multiscale Dynamic Routing Circuit For Forming Size- And Position-Invariant Object Representations”, by Bruno A. Olhausen, Journal Of Computational Neuroscience, vol. 2, No. 1, Mar. 1995, pp. 45-62.
“Detection Of 3D Objects In Cluttered Scenes Using Hierarchical Eigenspace”, by Hiroshi Murase, et al., Pattern Recognition Letters, IAPR, vol. 18, No. 4, Apr. 1997, pp. 375-384.
“Coarse-Fine Template Matching”, by Azriel Rosenfeld, et al., IEEE Transactions On Systems, Man And Cybernetics, Feb. 1977, pp. 104-107.
“Multiscale And Distributed Visual Representations And Mappings For Invariant Low-Level Perception”, by Harry Wechsler,Neural Networks For Perception, vol. 1,Human And Machine Perception, 1992, pp. 462-476.
“Physiologically Motivated Image Fusion For Object Detection Using A Pulse Coupled Neural Network”, by Randy P. Broussard, et al.,IEEE Transactions On Neural Networks, vol. 10, No. 3, May 1999, pp. 554-563.
“Feature Linking Via Synchronization Among Distributed Assemblies: Simulations Of Results From Cat Visual Cortex”, by R. Eckhorn, et al.,Neural Computation, vol. 2, No. 3, 1990, pp. 293-307.
“Silicon Auditory Processors As Computer Peripherals”, by John Lazzaro, et al.,Advances In Neural Information Processing Systems 5, 1993, pp. 820-827.
“Routing Networks In Visual Cortex”, by Charles H. Anderson, et al.,The Handbook Of Brain Theory And Neural Networks, 1995, pp. 823-826.
“Neocognitron: A New Algorithm For Pattern Recognition Tolerant Of Deformations And Shifts In Position”, by Kunihiko Fukushima, et al.,Pattern Recognition, vol. 15, No. 6, 1982, pp. 455-469.
“Learning And Recognizing 3D Objects From Multiple Views In A Neural System”, by Michael Seibert, et al.,Neural Networks For Perception, vol. 1, 1992, pp. 426-444.
“Distortion Invariant Object Recognition In The Dynamic Link Architecture”, by Martin Lades, et al.,IEEE Transactions On Computers, vol. 42, No. 3, Mar. 1993, pp. 300-311.
“Low-Dimensional Procedure For The Characterization Of Human Faces”, by L. Sirovich, et al.,J. Optical Society Of America, vol. 4, No. 3, Mar. 1987, pp. 519-524.
“Shifts In Selective Visual Attention: Towards The Underlying Neural Circuitry”, by C. Koch et al.,Human Neurobiology, vol. 4, No. 4, 1985, pp. 219-227.
“Pulse-Stream VLSI Neural Networks Mixing Analog And Digital Techniques”, by Alan Murray, et al.,IEEE Transactions On Neural Networks, vol. 2, No. 2, Mar. 1991, pp. 193-204.
Culhane, S.M. et al., “An Attentional Prototype for Early Vision”, Dept. Computer Science, Univ. Toronto (1992), pp. 551-560.
LeCun, Y. and Bengio, Y., “Convolutional Networks for Images Speech, and Time Series”, Handbook of Brain Theory and Neural Networks (M. Arbib, Ed.), MIT Press (1995) pp. 255-258.
IEEE Trans. on Neural Networks vol. 10, pp. 540.
Daugman, J.G., “Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters”, J. Optical Soc. America A, vol. 2 (1985) pp. 1160-1169.
Izhikevich, E.M., “Weakly Pulse-Coupled Oscillation, FM Interactions, Synchronization, and Oscillatory Associative Memory”, IEEE Trans. on Neural Networks, vol. 10 (1999) pp. 508-526.
Eckmiller, R. et al., “Information Processing in Biology-Inspired Pulse Coded Neural Networks”, Proceedings 1993 Int'l. Joint Conf. Neural Networks, vol. 1 (1993) pp. 643-648.
Murray, A., “Pulse Techniques in Neural VLSI: A Review”, IEEE Int'l. Symposium on Circuits and Systems, vol. 5 (1992) pp. 2204-2207.
Search Report, dated Aug. 13, 2004, in EP 01 30 5231.

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