nips nips2007 nips2007-188 nips2007-188-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Gonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa
Abstract: We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either programmed or learned on-chip to perform PCA, or programmed to perform LDA. A second network with userprogrammed coefficients performs classification with Manhattan distances. The system uses on-chip compensation techniques to reduce the effects of device mismatch. Using the ORL database with 12x12-pixel images, our circuit achieves up to 85% classification performance (98% of an equivalent software implementation). 1
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