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Learning Object-Independent Modes of Variation with Feature Flow Fields
(2001-09-01)
We present a unifying framework in which "object-independent" modes of variation are learned from continuous-time data such as video sequences. These modes of variation can be used as "generators" to produce a manifold of ...