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Talk
Manifold Learning
Lawrence Saul
How can we detect low dimensional structure in high dimensional data? Sam and I worked feverishly on this problem for a number of years. We were particularly interested in analyzing high dimensional data that lies on or near a low dimensional manifold. I will describe the algorithm, locally linear embedding (LLE), that we developed for this problem. I will conclude by relating LLE to more recent work in manifold learning and sketching some future directions for research.
Author Information
Lawrence Saul (UC San Diego)
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