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Neural network based on multivalued neurons and its application to image recognition
New technique for realtime distortioninvariant multiobject recognition and classification
Splinebased neural networks for digital image interpolation 430507
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algorithm analysis Applications approach areas Artificial associated blur calculated circuit classification coefficients color combining compression Computer considered content-based image retrieval correct correlation corresponding described detection developed distortion dynamic effective error example experiments extraction feature extraction feature vectors Figure filter frames function given gray IEEE implemented important improved initial input intensity International interpolation introduced layer learning matching matrix means measure memory method neural network neuron noise normalized object obtained operation optical order parameters original output parameters pattern recognition performance pixel points position preprocessing presented probability problem Proceedings proposed random recognized reconstruction REFERENCES region representation representative respectively retrieval sample segmentation selected shape shown shows signal similarity space SPIE spike stage step Table target task technique templates texture transform values vector wavelet weights window