Separable linear classifiers for online learning in appearance based object detection
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
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This article solves the optimal weighted least mean square (WLMS) filter design problem using sums of separable filters as a sequence of separable filter approximations. An efficient computational algorithm based on necessary conditions is presented. The procedure requires neither the solution of the unconstrained WLMS problem nor the singular value analysis of the ideal filter