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Local sparse representation projections for face recognition.

, , , and . Neural Computing and Applications, 23 (7-8): 2231-2239 (2013)

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Orthogonal self-guided similarity preserving projections., , , , and . ICIP, page 344-348. IEEE, (2015)Locality preserving embedding for face and handwriting digital recognition., , and . Neural Computing and Applications, 20 (4): 565-573 (2011)Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction., , and . Neural Processing Letters, 33 (3): 267-282 (2011)Two-dimensional color uncorrelated discriminant analysis for face recognition., , , , , and . Neurocomputing, (2013)Manifold discriminant regression learning for image classification., , , , and . Neurocomputing, (2015)Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics., , , and . Neurocomputing, 73 (1-3): 197-203 (2009)Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning., , , and . Neurocomputing, (2016)Adaptive linear discriminant regression classification for face recognition., , , , and . Digital Signal Processing, (2016)Joint sparse principal component analysis., , , , and . Pattern Recognition, (2017)Robust Locally Discriminant Analysis via Capped Norm., , , and . IEEE Access, (2019)