Title :
The grouped two-sided orthogonal Procrustes problem
Author :
Conroy, Bryan R. ; Ramadge, Peter J.
Author_Institution :
Dept. of Electrical Engineering, Princeton University, NJ, USA
Abstract :
We pose a modified version of the two-sided orthogonal Procrustes problem subject to a grouping constraint, and offer an efficient solution method. This problem has applications in weighted graph matching. Simulation results indicate that the algorithm can effectively use the grouping information to greatly improve estimation accuracy in the presence of noise.
Keywords :
Accuracy; Covariance matrix; Estimation; Optimization; Signal to noise ratio; Symmetric matrices; Greedy algorithms; Optimization methods; Pattern recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947151