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Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging., , , , , , , and . Neurocomputing, (2016)Extracting underlying trend and predicting power usage via joint SSA and sparse binary programming., , and . ISCAS, page 1312-1315. IEEE, (2013)Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction., , and . IEEE Trans. Instrumentation and Measurement, 62 (10): 2673-2682 (2013)Detecting Parkinson's diseases via the characteristics of the intrinsic mode functions of filtered electromyograms., , , , , , , , and . INDIN, page 1484-1487. IEEE, (2015)Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images., , , , , , and . IET Image Process., 13 (2): 299-306 (2019)Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization., , , , and . IEEE Trans. Circuits Syst. Video Technol., 33 (10): 5510-5524 (October 2023)Real-World Image Super-Resolution by Exclusionary Dual-Learning., , , , , , and . IEEE Trans. Multim., (2023)Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels., , , , , and . CoRR, (2022)Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation., , , and . CoRR, (2023)A new bidimensional EMD algorithmand its applications., , , , , and . CSNDSP, page 152-155. IEEE, (2014)