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» Object correspondence as a machine learning problem
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GECCO
2004
Springer
15 years 5 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 3 months ago
Innovization: innovating design principles through optimization
This paper introduces a new design methodology (we call it "innovization") in the context of finding new and innovative design principles by means of optimization techni...
Kalyanmoy Deb, Aravind Srinivasan
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
15 years 6 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
SIAMCOMP
1998
92views more  SIAMCOMP 1998»
14 years 11 months ago
Surface Approximation and Geometric Partitions
Motivated by applications in computer graphics, visualization, and scienti c computation, we study the computational complexity of the following problem: Given a set S of n points...
Pankaj K. Agarwal, Subhash Suri
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 9 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler