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Progress Report: Week 6 Alvaro Velasquez. Recap. Overlapping, overcomplete dictionary. Heat kernel affinity matrix. Graph Regularization term. Max Voting scheme. Sparsity: 97.47% Reconstruction error: 0.6667% Previous framework outlier rate: 31.86% Current framework outlier rate: 1.65%.

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Progress Report: Week 6

Alvaro Velasquez

recap
Recap
  • Overlapping, overcomplete dictionary.
  • Heat kernel affinity matrix.
  • Graph Regularization term.
  • Max Voting scheme.
  • Sparsity: 97.47%
  • Reconstruction error: 0.6667%
  • Previous framework outlier rate: 31.86%
  • Current framework outlier rate: 1.65%
current work
Current Work
  • Divide image volume into cuboids and vectorize them.
  • Learn a dictionary of cuboids.
  • Calculate sparse coefficient matrix of temporal blocks of cuboids using graph regularization.
  • Cluster vectors of the sparse coefficient matrix using k-means.
  • Display cluster centers on video.