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Progress Report: Week 6 Alvaro Velasquez

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

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  1. Progress Report: Week 6 Alvaro Velasquez

  2. 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%

  3. Previous Framework: Lasso

  4. Current framework: Graph Regularization

  5. 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.

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