THE GROUPED TWO-SIDED ORTHOGONAL PROCRUSTES PROBLEM
Classification and Pattern Recognition
Presented by: Alexander Lorbert, Author(s): Bryan Conroy, Peter Ramadge, Princeton University, United States
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.
Lecture Information
Recorded: | 2011-05-25 16:55 - 17:15, Club B |
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Added: | 18. 6. 2011 11:01 |
Number of views: | 22 |
Video resolution: | 1024x576 px, 512x288 px |
Video length: | 0:15:33 |
Audio track: | MP3 [5.24 MB], 0:15:33 |
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