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» Depth as Randomness Deficiency
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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...
CSR
2008
Springer
13 years 6 months ago
Additive Preconditioning for Matrix Computations
Versus the customary preconditioners, our weakly random ones are generated more readily and for a much larger class of input matrices. Furthermore our preconditioners have a wider...
Victor Y. Pan, Dmitriy Ivolgin, Brian Murphy, Rhys...
COMGEO
2008
ACM
13 years 5 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
CIE
2007
Springer
13 years 11 months ago
Feasible Depth
This paper introduces two complexity-theoretic formulations of Bennett’s computational depth: finite-state depth and polynomial-time depth. It is shown that for both formulation...
David Doty, Philippe Moser
COLT
2003
Springer
13 years 10 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio