Highlights for me today included El Ghaoui (Berkeley) talking about text document clustering and searching, and Das (NASA Ames) talking about sparse matrix methods in Gaussian processes. In the former, I realized it is incredibly easy to make sparse models of authors' use of words; I have always wanted to launch a project to figure out, in multi-author papers, which authors wrote which paragraphs. If you want to do that project with my consulting, send me email! In the latter, I learned about some inferential techniques for finding sparse approximations to the inverses of sparse matrices. In general the inverse is not sparse if the matrix is sparse, but you can come up with sparse approximations to the matrix and inverse pair. I spoke today, about my comprehensive image modeling projects. I also flashed some of Fergus's results.
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