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» Function Optimization with Coevolutionary Algorithms
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ALT
2004
Springer
15 years 10 months ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
ECCV
2002
Springer
16 years 3 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
PAMI
2011
14 years 8 months ago
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
—We propose a convex formulation for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast a...
Daniel Cremers, Kalin Kolev
ISCAS
2006
IEEE
105views Hardware» more  ISCAS 2006»
15 years 7 months ago
A new Spice-oriented frequency-domain optimization technique
— There are many kinds of optimization techniques for designing high-performance RF circuits. In this paper, we propose a new frequency-domain Spice-oriented optimization algorit...
Masayoshi Oda, Yoshihiro Yamagami, Yoshifumi Nishi...
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 1 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda