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Feature selection for least squares projection twin support vector machine., , , , and . Neurocomputing, (2014)Multi-weight vector projection support vector machines., , , and . Pattern Recognit. Lett., 31 (13): 2006-2011 (2010)Recursively global and local discriminant analysis for semi-supervised and unsupervised dimension reduction with image analysis., , , and . Neurocomputing, (2016)Piecewise Linear Regression Based on Plane Clustering., , , , , , and . IEEE Access, (2019)Robust Plane Clustering Based on L1-Norm Minimization., , , and . IEEE Access, (2020)A Novel Nonconvex Low-Rank Tensor Completion Approach for Traffic Sensor Data Recovery From Incomplete Measurements., , , , and . IEEE Trans. Instrum. Meas., (2023)Learning Low-Rank Regularized Generic Representation With Block-Sparse Structure for Single Sample Face Recognition., , , and . IEEE Access, (2019)Nonpeaked Discriminant Analysis for Data Representation., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (12): 3818-3832 (2019)Classification of 3-D Point Clouds by a New Augmentation Convolutional Neural Network., , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Least squares twin bounded support vector machines based on L1-norm distance metric for classification., , , , , , and . Pattern Recognit., (2018)