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COMPGEOM
2004
ACM
13 years 10 months ago
Deterministic sampling and range counting in geometric data streams
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...
Amitabha Bagchi, Amitabh Chaudhary, David Eppstein...
KDD
1998
ACM
200views Data Mining» more  KDD 1998»
13 years 9 months ago
Fast Computation of 2-Dimensional Depth Contours
"Oneperson's noise is another person's signal." For manyapplications, including the detection of credit card frauds and the monitoringof criminal activities in...
Theodore Johnson, Ivy Kwok, Raymond T. Ng
CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 4 months ago
Depth as Randomness Deficiency
Depth of an object concerns a tradeoff between computation time and excess of program length over the shortest program length required to obtain the object. It gives an unconditio...
Luis Antunes 0002, Armando Matos, Andre Souto, Pau...
CVPR
2012
IEEE
11 years 7 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
COMGEO
2008
ACM
13 years 4 months ago
An optimal randomized algorithm for d-variate zonoid depth
A randomized linear expected-time algorithm for computing the zonoid depth (Dyckerhoff et al 1996, Mosler 2002) of a point with respect to a fixed dimensional point set is presente...
Pat Morin