shivak + tesselations   1

Dimension reduction by random hyperplane tesselations
"Given a subset K of the unit Euclidean sphere, we estimate the minimal number m = m(K) of hyperplanes that generate a uniform tessellation of K, in the sense that the fraction of the hyperplanes separating any pair x,y in K is nearly proportional to the Euclidean distance between x and y. Random hyperplanes prove to be almost ideal for this problem; they achieve the almost optimal bound m = O(w(K)^2) where w(K) is the Gaussian mean width of K."
tesselations  dimension_reduction  embeddings  papers  to_read 
november 2011 by shivak

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