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Subspace learning methods have played an important role on handling the high-dimensional gait template for human identification. Particularly, linear discriminant analysis (LDA) method has been widely applied to find one discriminant low-dimensional subspace for gait recognition. However, when gait templates changed by clothing, view angle, load carrying and road surface variants, only learning one...
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