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Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition., , , and . MobiQuitous, page 282-291. ACM, (2017)Accurate Recognition of the Current Activity in the Presence of Multiple Activities., , , and . PAKDD (2), volume 10235 of Lecture Notes in Computer Science, page 39-50. (2017)General Model for Manufacturing Defect Detection Crossing Multiple Products., , , , , , , , , and 2 other author(s). ICMLA, page 1595-1600. IEEE, (2023)Loop closure detection of visual SLAM based on variational autoencoder., , , , , and . Frontiers Neurorobotics, (June 2023)Fix-Budget and Recurrent Data Mining for Online Haptic Perception., , , , , and . ICONIP (5), volume 10638 of Lecture Notes in Computer Science, page 581-591. Springer, (2017)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).Predicting Complex Activities from Ongoing Multivariate Time Series., , , and . IJCAI, page 3322-3328. ijcai.org, (2018)Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition., , , and . AAAI, page 2143-2150. AAAI Press, (2018)InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models., , , , , and . CoRR, (2024)Learning layout generation for virtual worlds., and . Comput. Vis. Media, 10 (3): 577-592 (June 2024)