137 citations · 488 across the 26 of their papers we have counts for
3 papers · 1 filter
Temporal Attention-Gated Model for Robust Sequence Classification
Wenjie Pei, Tadas Baltrušaitis, David M. J. Tax +1
Typical techniques for sequence classification are designed for well-segmented sequences which have been edited to remove noisy or irrelevant parts. Therefore, such methods cannot…
Modeling Time Series Similarity with Siamese Recurrent Networks
Wenjie Pei, David M. J. Tax, Laurens van der Maaten
Traditional techniques for measuring similarities between time series are based on handcrafted similarity measures, whereas more recent learning-based approaches cannot exploit ext…
Survey on the attention based RNN model and its applications in computer vision
Feng Wang, David M. J. Tax
The recurrent neural networks (RNN) can be used to solve the sequence to sequence problem, where both the input and the output have sequential structures. Usually there are some im…