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We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
In this paper, a new on-line signature verification system using neural network is presented. The proposed system is based-on a newly developed Spatio-Temporal Artificial Neuron (SPAN), which is well adapted for the verification of Spatio-Temporal patterns. In this model, the strokes of a signature generated by a digitizing tablet is presented in form of a sequence of spikes corresponding to displacement...
Abstract A new method of using Vis/NIR spectroscopy technique to identify the varieties of red wines was studied. Through comparing modeling performance built by different amounts of independent components, 20 independent components (ICs) extracted by independent components analysis (ICA) were employed as the inputs of the BP neural networks and were consider to be important parameter for calibration...
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