1 citations · 2 across the 20 of their papers we have counts for
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Dynamic Data Augmentation with Gating Networks for Time Series Recognition
Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana
Data augmentation is a technique to improve the generalization ability of machine learning methods by increasing the size of the dataset. However, since every augmentation method i…
Self-Augmented Multi-Modal Feature Embedding
Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana
Oftentimes, patterns can be represented through different modalities. For example, leaf data can be in the form of images or contours. Handwritten characters can also be either onl…
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan +4
Deep time series metric learning is challenging due to the difficult trade-off between temporal invariance to nonlinear distortion and discriminative power in identifying non-match…