Slow Feature Analysis For Human Action Recognition

IEEE Computer Soc
Publication Type:
Journal Article
Ieee Transactions On Pattern Analysis And Machine Intelligence, 2012, 34 (3), pp. 436 - 450
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Slow Feature Analysis (SFA) extracts slowly varying features from a quickly varying input signal [1]. It has been successfully applied to modeling the visual receptive fields of the cortical neurons. Sufficient experimental results in neuroscience sugges
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