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Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition., , , и . MobiQuitous, стр. 282-291. ACM, (2017)Accurate Recognition of the Current Activity in the Presence of Multiple Activities., , , и . PAKDD (2), том 10235 из Lecture Notes in Computer Science, стр. 39-50. (2017)General Model for Manufacturing Defect Detection Crossing Multiple Products., , , , , , , , , и 2 other автор(ы). ICMLA, стр. 1595-1600. IEEE, (2023)Loop closure detection of visual SLAM based on variational autoencoder., , , , , и . Frontiers Neurorobotics, (июня 2023)Fix-Budget and Recurrent Data Mining for Online Haptic Perception., , , , , и . ICONIP (5), том 10638 из Lecture Notes in Computer Science, стр. 581-591. Springer, (2017)Predicting Complex Activities from Ongoing Multivariate Time Series., , , и . IJCAI, стр. 3322-3328. ijcai.org, (2018)Accurate and efficient human activity recognition.. University of Melbourne, Parkville, Victoria, Australia, (2018)base-search.net (ftumelbourne:oai:jupiter.its.unimelb.edu.au:11343/224027).Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition., , , и . AAAI, стр. 2143-2150. AAAI Press, (2018)InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models., , , , , и . CoRR, (2024)Learning layout generation for virtual worlds., и . Comput. Vis. Media, 10 (3): 577-592 (июня 2024)