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Flexible orthogonal semisupervised learning for dimension reduction with image classification.

, , , , and . Neurocomputing, (2014)

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Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?, , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (7): 1591-1598 (2016)Flexible orthogonal semisupervised learning for dimension reduction with image classification., , , , and . Neurocomputing, (2014)Relative density degree induced boundary detection for one-class SVM., , , , , and . Soft Comput., 20 (11): 4473-4485 (2016)L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector k-Plane Clustering., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (9): 4494-4503 (2018)L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm., , , , , and . IEEE Trans. Circuits Syst. Video Techn., 28 (1): 114-129 (2018)Incorporating neighbors' distribution knowledge into support vector machines., , , , , and . Soft Comput., 21 (21): 6407-6420 (2017)Neighbors' distribution property and sample reduction for support vector machines., , , , , and . Appl. Soft Comput., (2014)Fast orthogonal linear discriminant analysis with application to image classification., , and . Neurocomputing, (2015)A weighted one-class support vector machine., , , , , and . Neurocomputing, (2016)IGDD: a database of intronless genes in dicots., , , , and . BMC Bioinform., (2016)