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CSDA
2008
108views more  CSDA 2008»
14 years 10 months ago
The random Tukey depth
The computation of the Tukey depth, also called halfspace depth, is very demanding, even in low dimensional spaces, because it requires that all possible one-dimensional projectio...
J. A. Cuesta-Albertos, A. Nieto-Reyes
CVIU
2008
82views more  CVIU 2008»
14 years 10 months ago
Shape matching and registration by data-driven EM
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target ...
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille
EOR
2010
149views more  EOR 2010»
14 years 10 months ago
Adaptive multicut aggregation for two-stage stochastic linear programs with recourse
Outer linearization methods for two-stage stochastic linear programs with recourse, such as the L-shaped algorithm, generally apply a single optimality cut on the nonlinear object...
Svyatoslav Trukhanov, Lewis Ntaimo, Andrew Schaefe...
IJMMS
2006
64views more  IJMMS 2006»
14 years 10 months ago
Revising (multi-) media learning principles by applying a differentiated knowledge concept
This paper reports on a study investigating the effect of single-media and multimedia presentations on the resulting knowledge. First, this study investigated the stability of est...
Sissel Guttormsen Schär, Johannes Kaiser
CORR
2007
Springer
128views Education» more  CORR 2007»
14 years 10 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...