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Editorial: Privacy-Preserving Deep Heterogeneous View Perception for Data Learning
2022
Frontiers in Neurorobotics
Deep learning has promoted the development of cutting-edge robotic systems with the ability to automatically mine concepts from complex tasks in an open-ended manner. Many novel algorithms and efficient architectures of deep learning with trainable components have achieved remarkable performance in various domains such as machine learning and robotic devices, based on the unsupervised/supervised learning schemes. Most of the current deep learning methods focus on a single-view perception of
doi:10.3389/fnbot.2022.862535
pmid:35370595
pmcid:PMC8973699
fatcat:tixdpi47bjf7fbbxbwt4houxsq