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» Optimizing a 2D Function Satisfying Unimodality Properties
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85
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ICIP
2001
IEEE
16 years 15 days ago
On the compression of two-dimensional piecewise smooth functions
It is well known that wavelets provide good non-linear approximation of one-dimensional (1-D) piecewise smooth functions. However, it has been shown that the use of a basis with g...
Pier Luigi Dragotti, Minh N. Do, Rahul Shukla, Mar...
84
Voted
ICASSP
2008
IEEE
15 years 5 months ago
Learning to satisfy
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...
93
Voted
ECCV
2000
Springer
16 years 24 days ago
Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
Alain Trouvé, Laurent Younes
115
Voted
ADCM
2007
134views more  ADCM 2007»
14 years 11 months ago
Barycentric coordinates for convex sets
In this paper we provide an extension of barycentric coordinates from simplices to arbitrary convex sets. Barycentric coordinates over convex 2D polygons have found numerous appli...
Joe D. Warren, Scott Schaefer, Anil N. Hirani, Mat...
CEC
2008
IEEE
15 years 5 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...