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Video Classification Using Deep Autoencoder Network., and . CISIS, volume 993 of Advances in Intelligent Systems and Computing, page 508-518. Springer, (2019)Self-supervised pain intensity estimation from facial videos via statistical spatiotemporal distillation., , and . Pattern Recognit. Lett., (2020)Dynamic Texture Comparison Using Derivative Sparse Representation: Application to Video-Based Face Recognition., , , , and . IEEE Trans. Hum. Mach. Syst., 47 (6): 970-982 (2017)Efficient spatiotemporal representation learning for pain intensity estimation from facial expressions.. University of Oulu, Finland, (2021)base-search.net (ftunivoulu:oai:oulu.fi:isbn978-952-62-2972-0).Semi-Supervised Few-Shot Class-Incremental Learning., , , and . ICIP, page 1239-1243. IEEE, (2021)Sparse Variation Pattern for Texture Classification., , , and . DICTA, page 1-6. IEEE, (2013)Learning to Detect Genuine versus Posed Pain from Facial Expressions using Residual Generative Adversarial Networks., , and . FG, page 1-8. IEEE, (2019)AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation., , and . ICCV, page 8019-8028. IEEE, (2019)Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching., , , and . ACCV (5), volume 9007 of Lecture Notes in Computer Science, page 626-641. Springer, (2014)