Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
In order to produce MPI applications that perform well on today’s parallel architectures, programmers need effective tools for collecting and analyzing performance data. Because ...
Shirley Moore, David Cronk, Kevin S. London, Jack ...
The DASHER Project at USC/ISI has focused upon helping organizations with rapid-response mission requirements by providing information analysis tools that help make sense of sets o...
Ke-Thia Yao, Robert Neches, In-Young Ko, Ragy Elei...
The problem of trajectory similarity has been recently attracted research interest considerably, due to its importance in diverse fields. In this work, we study trajectory similar...