This section lists a number of neural network and pattern recognition patents created outside the CNS Tech Lab which are based on ART or ARTMAP.
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Topics:
Machine Learning,
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| Author(s) |
Meng, Z. |
Pao, Y.H. |
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| Abstract |
The subject system provides reduced-dimension mapping of pattern data. Mapping is applied through conventional single-hidden-layer feed-forward neural network with non-linear neurons. According to one aspect of the present ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
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| Author(s) |
Sinnock, H.J. |
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| Abstract |
A system that couples distributed power generators together as a collective unit for the purposes of selling or purchasing energy from the electrical power grid. The apparatus includes a charge/discharge controller and an ... |
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| Categories |
Topics:
Machine Learning,
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| Author(s) |
Aragon, J.C. |
Percival, B.M. |
Widrow, B. |
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| Abstract |
Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. ... |
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| Categories |
Topics:
Other,
Applications:
Other,
Models:
Other, |
| Author(s) |
Griffin, J.W. |
Lind, M.A. |
Morgan, G.B. |
Priddy, K.L. |
Ridgway, R.W. |
Stein, S.L. |
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| Abstract |
An intelligent microsensor module (10, 100, 210, 300, 355, 410) is provided that can fuse data streams from a variety of sources and then locally determine the current state of the environment in which the intelligent ... |
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| Categories |
Topics:
Machine Learning,
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| Author(s) |
Avni, Y. |
Suchard, E. |
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| Abstract |
The present invention includes a system and a method of validating an identity of a user using a pointing device by comparing a sampled mouse signature with an authenticated mouse signature. The method includes presenting a ... |
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| Categories |
Topics:
Machine Learning,
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| Author(s) |
Khan, E.R. |
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| Abstract |
A self-organizing neural network having input and output neurons mutually coupled via bottom-up and top-down adaptive weight matrics performs pattern recognition while using substantially fewer neurons and being ... |
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| Categories |
Topics:
Image Analysis,
Models:
ART 1, |
| Author(s) |
Gopishankar, L. |
Kim, Y. |
Park, H.W. |
Sun, S. |
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| Abstract |
Adaptive noise filtering is applied to an image frame of HSI data to reduce and more uniformly distribute noise while preserving image feature edges. An adaptive spatial filter includes a plurality of averaging kernels. An ... |
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| Categories |
Topics:
Machine Learning,
Applications:
Other,
Models:
ART 1, |
| Author(s) |
Antsey, K.A. |
Barillaud, F. |
Croft, A.J. |
Linton, J.F. |
Marinos, D.J. |
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| Abstract |
Round trip time, bottleneck link speed, and hop count information from one node to the remaining nodes within a network is collected and processed by an adaptive resonance theory (ART) neural network to classify the nodes by ... |
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| Categories |
Topics:
Machine Learning,
Models:
Modified ART, |
| Author(s) |
Mitra, S.D. |
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| Abstract |
An adaptive vector quantization process and quantizer (VQ) using a clustering technique known as AFLC (adaptive fuzzy leader clustering) is disclosed. The quantizer, AFLC-VQ, has been designed to vector quantize wavelet ... |
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| Categories |
Topics:
Image Analysis,
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| Author(s) |
Kim, Y. |
Sun, S. |
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| Abstract |
The optical flow of an array of pixels in an image field is determined using adaptive spatial and temporal gradients. Artifacts are avoided for image objects which are moving smoothly relative to the image field background. ... |
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