Image analysis – Learning systems – Neural networks
Patent
1996-03-29
2000-03-14
Couso, Jose L.
Image analysis
Learning systems
Neural networks
382155, 382159, 382190, G06K 962, G06K 946
Patent
active
060383372
ABSTRACT:
A hybrid neural network system for object recognition exhibiting local image sampling, a self-organizing map neural network, and a hybrid convolutional neural network. The self-organizing map provides a quantization of the image samples into a topological space where inputs that are nearby in the original space are also nearby in the output space, thereby providing dimensionality reduction and invariance to minor changes in the image sample, and the hybrid convolutional neural network provides for partial invariance to translation, rotation, scale, and deformation. The hybrid convolutional network extracts successively larger features in a hierarchical set of layers. Alternative embodiments using the Karhunen-Loeve transform in place of the self-organizing map, and a multi-layer perceptron in place of the convolutional network are described.
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Giles C. Lee
Lawrence Stephen Robert
Brosemer Jeffrey J.
Couso Jose L.
Dang Duy M.
Isztwan Andrew G.
NEC Research Institute Inc.
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