Slow Down to Go Better: A Survey on Slow Feature Analysis.
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DOI: 10.1109/tnnls.2022.3201621
Abstract: Temporal data contain a wealth of valuable information, playing an essential role in various machine-learning tasks. Slow feature analysis (SFA), one of the most classic temporal feature extraction models, has been deeply explored in two… read more here.
Keywords: slow better; slow feature; feature; feature analysis ... See more keywords