Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2007-10-23
2007-10-23
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Neural network
Learning task
C706S022000, C706S015000
Reexamination Certificate
active
10955141
ABSTRACT:
The present invention provides techniques for transmitting at least one signal through an element of a classification system. One or more input signals are received at the element. One or more functional components are extracted from the one or more input signals, and one or more membership components are extracted from the one or more input signals. An output signal is generated from the element comprising a functional component and a membership component that correspond to one or more functional components and membership components from one or more input signals.
REFERENCES:
patent: 5174714 (1992-12-01), Plemmons et al.
patent: 5465308 (1995-11-01), Hutcheson et al.
patent: 5469530 (1995-11-01), Makram-Ebeid
patent: 5544256 (1996-08-01), Brecher et al.
patent: 5680476 (1997-10-01), Schmidt et al.
patent: 5680513 (1997-10-01), Hyland et al.
patent: 5794190 (1998-08-01), Linggard et al.
patent: 5796920 (1998-08-01), Hyland
patent: 5838816 (1998-11-01), Holmberg
patent: 5872779 (1999-02-01), Vaudreuil
patent: 6018728 (2000-01-01), Spence et al.
patent: 6038337 (2000-03-01), Lawrence et al.
patent: 6134538 (2000-10-01), Mager et al.
patent: 6324532 (2001-11-01), Spence et al.
patent: 6411699 (2002-06-01), Fleischer et al.
patent: 6463438 (2002-10-01), Veltri et al.
patent: 6519368 (2003-02-01), Kondo et al.
patent: 7003555 (2006-02-01), Jungck
patent: 7007002 (2006-02-01), Matsugu et al.
patent: 7030814 (2006-04-01), Stone et al.
patent: 2002/0165839 (2002-11-01), Taylor et al.
patent: 2004/0059695 (2004-03-01), Xiao et al.
R.S. Zemel et al., “Lending Direction to Neural Networks,” Neural Networks, vol. 8, No. 4, pp. 503-512, 1995.
J.E. Hummel et al., “Dynamic Binding in a Neural Network for Shape Recognition,” Psychological Review, vol. 99, No. 3, pp. 480-517, 1992.
M.C. Mozer et al., “Learning to Segment Images Using Dynamic Feature Binding,” Neural Computation, 4, pp. 436-443, 1992.
Y. Choe et al., “Self-Organization and Segmentation in a Laterally Connected Orientation Map of Spiking Neurons,” Neurocomputing, pp. 1-20, 1998.
Ruggero Milanese, “Feature Binding through Synchronized Neuronal Oscillations: A Preliminary Study,” International Computer Science Institute, TR-94-044, pp. 1-26, 1994.
Y. Choe et al., “Contour Integration and Segmentation with Self-Organized Lateral Connections,” Biological Cybernetics, pp. 1-16, 2003.
C. Kayser et al., “Stimulus locking and feature selectivity prevail in complementary frequency ranges of V1 local field potentials,” European Journal of Neuroscience, vol. 19, pp. 485-489, 2004.
Christoph von der Malsburg, “The What and Why of Binding: The Modeler's Perspective,” Neuron, vol. 24, pp. 95-104 and pp. 111-125, 1999.
K.P. Körding et al., “A learning rule for dynamic recruitment and decorrelation,” Neural Networks, vol. 13, pp. 1-9, 2000.
Cecchi Guillermo Alberto
Kozloski James Robert
Peck, III Charles Clyde
Rao Ravishankar
International Business Machines - Corporation
Kennedy Adrian
Knight Anthony
Nelson Dwayne
Ryan, Mason & Lewis, LLLP
LandOfFree
Methods and apparatus for transmitting signals through... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods and apparatus for transmitting signals through..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods and apparatus for transmitting signals through... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3826663