Neural Networks Technical Committee - IEEE Computational.
This paper describes the neural-based recognition and verification techniques used in a banknote machine, recently implemented for accepting paper currency of different countries. The perception mechanism is based on low-cost optoelectronic devices which produce a signal associated with the light refracted by the banknotes. The classification and verification steps are carried out by a society.
This paper addresses estimation of the generalization performance of regularized, complete neural network models. Regularization normally improves the generalization performance by restricting the model complexity. A formula for the optimal weight decay regularizer is derived. A regularized model may be characterized by an effective number of weights (parameters); however, it is demonstrated.
However, breakthroughs in neural-network research have revolutionized computer vision and natural-language processing, rekindling the imaginations of the public, researchers, and industry.
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IEEE Transactions on Neural Networks and Learning Systems citation style guide with bibliography and in-text referencing examples: Journal articles Books Book chapters Reports Web pages. PLUS: Download citation style files for your favorite reference manager.
Usually, visual information is captured by a frame-based camera, converted into a digital format and processed afterwards using a machine-learning algorithm such as an artificial neural network.
A new unsupervised convolutional neural network model for Chinese scene text detection. In 2015 IEEE China Summit and International Conference on Signal and Information Processing, - Proceedings. Piscataway, NJ (US): IEEE. 2015. p. 428-432.