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Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis.

Y. Li, C. Lekamalage, T. Liu, P. Chen, and G. Huang. IEEE Trans. Ind. Electron., 67 (3): 2360-2370 (2020)

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Extreme Learning Machine for Joint Embedding and Clustering.T. Liu, L. Kasun, G. Huang, and Z. Lin. Neurocomputing, (2018)Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis.Y. Li, C. Lekamalage, T. Liu, P. Chen, and G. Huang. IEEE Trans. Ind. Electron., 67 (3): 2360-2370 (2020)Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine.Z. Bai, L. Kasun, and G. Huang. INNS Conference on Big Data, volume 53 of Procedia Computer Science, page 391-399. Elsevier, (2015)A Review of Machine Learning for Near-Infrared Spectroscopy.W. Zhang, L. Kasun, Q. Wang, Y. Zheng, and Z. Lin. Sensors, 22 (24): 9764 (2022)Cascaded Adversarial Learning for Speaker Independent Emotion Recognition.C. Lekamalage, Z. Lin, G. Huang, and J. Rajapakse. IJCNN, page 1-8. IEEE, (2022)Elmnet: Feature learning using extreme learning machines.D. Cui, G. Huang, L. Kasun, G. Zhang, and W. Han. ICIP, page 1857-1861. IEEE, (2017)Local Receptive Fields Based Extreme Learning Machine.G. Huang, Z. Bai, L. Kasun, and C. Vong. IEEE Comput. Intell. Mag., 10 (2): 18-29 (2015)Dimension Reduction With Extreme Learning Machine.L. Kasun, Y. Yang, G. Huang, and Z. Zhang. IEEE Trans. Image Process., 25 (8): 3906-3918 (2016)Efficient joint model learning, segmentation and model updating for visual tracking.W. Han, C. Lekamalage, and G. Huang. Neural Networks, (2022)An adaptive graph learning method based on dual data representations for clustering.T. Liu, C. Lekamalage, G. Huang, and Z. Lin. Pattern Recognit., (2018)

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Disambiguation of "Lekamalage, Chamara Kasun Liyanaarachchi"

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Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis.

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Disambiguation of "Lekamalage, Chamara Kasun Liyanaarachchi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis.

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Learning Representations With Local and Global Geometries Preserved for Machine Fault Diagnosis.