Similarity measures for time series are important problems for time seri...
Learning from label proportions (LLP) is a promising weakly supervised
l...
This paper proposes a novel and efficient method for Learning from Label...
Data augmentation is a technique to improve the generalization ability o...
Deep time series metric learning is challenging due to the difficult
tra...
Oftentimes, patterns can be represented through different modalities. Fo...