Sparse L1-norm-based linear discriminant analysis
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DOI: 10.1007/s11042-017-5193-9
Abstract: Linear discriminant analysis (LDA) is a well-known feature extraction method, which has been widely used for many pattern recognition problems. However, the objective function of conventional LDA is based on L2-norm, which makes LDA sensitive… read more here.
Keywords: sparse norm; norm based; linear discriminant; discriminant analysis ... See more keywords