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Neural networks : the official journal of the International Neural Network Society, v.13 no.10, 2000년, pp.1095 - 1105
Hsieh, W.W. (Tel.: +1-604-822-2821)
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AbstractCanonical correlation analysis (CCA) is widely used to extract the correlated patterns between two sets of variables. A nonlinear canonical correlation analysis (NLCCA) method is formulated here using three feedforward neural networks. The first network has a double-barreled architecture, an...
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