no code implementations • 5 Nov 2018 • Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh
Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-apply in tasks such as dimension reduction, clustering, visualization, information retrieval, and semi-supervised learning.
no code implementations • 6 Aug 2018 • Cynthia Freeman, Jonathan Merriman, Abhinav Aggarwal, Ian Beaver, Abdullah Mueen
In (Yang et al. 2016), a hierarchical attention network (HAN) is created for document classification.
no code implementations • 15 Feb 2018 • Yan Zhu, Abdullah Mueen, Eamonn Keogh
Although there has been more than a decade of extensive research, there is still no technique to allow the discovery of time series motifs in the presence of missing data, despite the well-documented ubiquity of missing data in scientific, industrial, and medical datasets.
no code implementations • ICLR 2018 • Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh
By reformulating the representation learning problem as a neighbor reconstruction problem, domain knowledge can be easily incorporated with appropriate definition of similarity or distance between objects.
no code implementations • 17 Aug 2017 • Ian Beaver, Cynthia Freeman, Abdullah Mueen
We create and release the first publicly available commercial customer service corpus with annotated relational segments.