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Metric Learning For Complex Data Analysis by Aidong Zhang, Ph.D.
SUNY Distinguished Professor of Computer Science and Engineering
State University of New York at Buffalo
Program Director, National Science Foundation

Comparing and measuring similarities or distances between pairs of instances is a basic but important step toward the success of many data mining and machine learning approaches.
In this talk, Dr. Zhang will discuss how both linear and nonlinear metric learning can be approached to capture various important relationships for complex data sets and how the learned metrics can be used for complex data analysis.