Disentangling the Modes of Variation in Unlabelled Data
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DOI: 10.1109/tpami.2017.2783940
Abstract: Statistical methods are of paramount importance in discovering the modes of variation in visual data. The Principal Component Analysis (PCA) is probably the most prominent method for extracting a single mode of variation in the… read more here.
Keywords: variation; modes variations; variation unlabelled; disentangling modes ... See more keywords