Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization
Speaker (s):
LE Duy Dung
PhD Candidate
School of Information Systems
Singapore Management University
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Date:
Time:
Venue:
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April 25, 2016, Monday
4:30pm - 5:00pm
Meeting Room 4.4, Level 4
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
We look forward to seeing you at this research seminar.
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About the Talk
Embedding deals with reducing the high-dimensional representation of data into a low-dimensional representation. Previous work mostly focuses on preserving similarities among objects. Here, not only do we explicitly recognize multiple types of objects, but we also focus on the ordinal relationships across types. Collaborative Ordinal Embedding or COE is based on generative modelling of ordinal triples. Experiments show that COE outperforms the baselines on objective metrics, revealing its capacity for information preservation for ordinal data.
This a pre-conference talk for 2016 SIAM International Conference on Data Mining.
About the Speaker
LE Duy Dung Le Duy Dung is a first year PhD student from the School of Information Systems at Singapore Management University, supervised by Assistant Professor Hady Wirawan Lauw. He received his Degree of Engineer in Mathematics and Informatics from the Hanoi University of Science and Technology in 2014. His research interests are dimensionality reduction and data visualization, as well as their applications in recommendation systems.
