1. What were my goals for this week?
- Look at heuristic algorithms to cluster motions more quickly/intelligently
- See if I can optimize the hierarchical clustering
- Try other forms of clustering on the motions
- Figure out what to do with k-means outliers
- Implement affine fitting on the clusters
- Talk to Aaron about glyphs for static representation of motions!
2. What did I accomplish this week?
- Finished moving, unpacked
- Implemented and tested an approximate hierarchical clustering (~2x faster)
3. Why are numbers 1 and 2 different?
Primarily because I got sick, but also because moving took a lot longer than anticipated. Lost a day due to parental visit.
4. What are my goals for next week?
- Look at heuristic algorithms to cluster motions more quickly/intelligently
- See if I can optimize the hierarchical clustering further
- Try other forms of clustering on the motions
- Figure out what to do with k-means outliers
- Implement affine fitting on the clusters
- Talk to Aaron about glyphs for static representation of motions!
5. How does this fit in my bigger picture?
See last week.
6. What did I read this week?
- Avidan, Shai and Shamir, Ariel, Seam Carving for Content-Aware Image Resizing.
- Teodoro, Miguel L., Phillips, George N. Jr., Kavraki, Lydia E., A Dimensionality Reduction Approach to Modeling Protein Flexibility.
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