Enhancing temporal alignment with autoencoder regularization

Abstract

Temporal alignment aligns two temporal sequences and is quite challenging due to drastic differences among temporal sequences and source data from different views. Canonical time warping (CTW) has shown great potential in temporal alignment tasks because it can reduce data redundancy by transforming high-dimensional data to a lower-dimensional subspace via… (More)
DOI: 10.1109/IJCNN.2016.7727840

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