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Deep Belief Nets as Function Approximators for Reinforcement Learning.

, and . Lifelong Learning, volume WS-11-15 of AAAI Technical Report, AAAI, (2011)

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Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors.. City University of New York, USA, (2018)A recursive framework for expression recognition: from web images to deep models to game dataset., , , and . Mach. Vis. Appl., 29 (3): 489-502 (2018)Information theoretic reward shaping for curiosity driven learning in POMDPs., , and . ICDL-EPIROB, page 1-7. IEEE, (2011)Deep Belief Nets as Function Approximators for Reinforcement Learning., and . Lifelong Learning, volume WS-11-15 of AAAI Technical Report, AAAI, (2011)Towards an "In-the-Wild" Emotion Dataset Using a Game-Based Framework., , , and . CVPR Workshops, page 1526-1534. IEEE Computer Society, (2016)A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition., , and . ICMI, page 483-490. ACM, (2015)EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection., , , and . FG, page 103-110. IEEE Computer Society, (2017)Text Generation with Speech Synthesis for ASR Data Augmentation., , , , , , , , , and 4 other author(s). CoRR, (2023)Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study., , , and . WACV, page 10-19. IEEE Computer Society, (2018)A deep reinforcement learning approach to character segmentation of license plate images., , and . MVA, page 539-542. IEEE, (2015)