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» Approximation Algorithms for Data Placement Problems
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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 8 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
ECCV
2006
Springer
14 years 10 months ago
Triangulation for Points on Lines
Triangulation consists in finding a 3D point reprojecting the best as possible onto corresponding image points. It is classical to minimize the reprojection error, which, in the p...
Adrien Bartoli, Jean-Thierry Lapresté
SGP
2007
13 years 10 months ago
Shape reconstruction from unorganized cross-sections
In this paper, we consider the problem of reconstructing a shape from unorganized cross-sections. The main motivation for this problem comes from medical imaging applications wher...
Jean-Daniel Boissonnat, Pooran Memari
ESA
2005
Springer
113views Algorithms» more  ESA 2005»
14 years 1 months ago
Online View Maintenance Under a Response-Time Constraint
Abstract. A materialized view is a certain synopsis structure precomputed from one or more data sets (called base tables) in order to facilitate various queries on the data. When t...
Kamesh Munagala, Jun Yang 0001, Hai Yu
ECCV
2002
Springer
14 years 10 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto