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» Efficient Euclidean projections in linear time
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ICML
2009
IEEE
14 years 5 months ago
Efficient Euclidean projections in linear time
We consider the problem of computing the Euclidean projection of a vector of length n onto a closed convex set including the 1 ball and the specialized polyhedra employed in (Shal...
Jun Liu, Jieping Ye
ICPR
2008
IEEE
14 years 6 months ago
Efficient triangulation based on 3D Euclidean optimization
This paper presents a method for triangulation of 3D points given their projections in two images. Recent results show that the triangulation mapping can be represented as a linea...
Klas Nordberg
COMPGEOM
2003
ACM
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...
Sariel Har-Peled, Kasturi R. Varadarajan
STOC
1998
ACM
190views Algorithms» more  STOC 1998»
13 years 9 months ago
Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
Eyal Kushilevitz, Rafail Ostrovsky, Yuval Rabani
ICCV
2007
IEEE
14 years 6 months ago
DynamicBoost: Boosting Time Series Generated by Dynamical Systems
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
René Vidal, Paolo Favaro