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COMPGEOM
2003
ACM

High-dimensional shape fitting in linear time

13 years 10 months ago
High-dimensional shape fitting in linear time
Let P be a set of n points in Rd. The radius of a k-dimensional flat F with respect to P, denoted by RD(F, P), is defined to be maxp∈P dist(F, p), where dist(F, p) denotes the Euclidean distance between p and its projection onto F. The k-flat radius of P, which we denote by Ropt k (P), is the minimum, over all k-dimensional flats F, of RD(F, P). We consider the problem of computing Ropt k (P) for a given set of points P. We are interested in the high-dimensional case where d is a part of the input and not a
Sariel Har-Peled, Kasturi R. Varadarajan
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where COMPGEOM
Authors Sariel Har-Peled, Kasturi R. Varadarajan
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