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» Optimizing a 2D Function Satisfying Unimodality Properties
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ESA
2005
Springer
99views Algorithms» more  ESA 2005»
15 years 2 months ago
Optimizing a 2D Function Satisfying Unimodality Properties
The number of probes needed by the best possible algorithm for locally or globally optimizing a bivariate function varies substantially depending on the assumptions made about the ...
Erik D. Demaine, Stefan Langerman
FOCS
2009
IEEE
15 years 4 months ago
Instance-Optimal Geometric Algorithms
We prove the existence of an algorithm A for computing 2-d or 3-d convex hulls that is optimal for every point set in the following sense: for every set S of n points and for ever...
Peyman Afshani, Jérémy Barbay, Timot...
102
Voted
SIAMIS
2010
395views more  SIAMIS 2010»
14 years 7 months ago
A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
CVPR
2008
IEEE
15 years 11 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ICIP
1998
IEEE
15 years 11 months ago
Minimum Support Interpolators with Optimum Approximation Properties
Abstract- We investigate the functions of given approximation order L that have the smallest support. Those are shown to be linear combinations of the Bspline of degree .L - 1 and ...
Michael Unser, Philippe Thévenaz, Thierry B...