Optimization of multi-set data analysis and fusion for Big Data

Zhongqiang Luo, Sichuan University of Science and Engineering (SUSE)

Tulay Adali, Department of Computer Science and Electrical Engineering, UMBC

Optimization of multi-set analysis methods is of utmost importance especially when dealing with big datasets. Our goal is to study and develop algorithms for this purpose by evaluating their  performance with increasing dimensionality so that they can be reliably applied to problems in data fusion for medical image analysis and beyond.