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cs.LG2019
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding
Mariella Dimiccoli, Herwig Wendt
Recently, self-supervised learning has proved to be effective to learn representations of events suitable for temporal segmentation in image sequences, where events are understood…
cs.LG2017
Nonnegative Matrix Factorization with Transform Learning
Dylan Fagot, Cédric Févotte, Herwig Wendt
Traditional NMF-based signal decomposition relies on the factorization of spectral data, which is typically computed by means of short-time frequency transform. In this paper we pr…