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CVPR
2008
IEEE
14 years 10 months ago
Globally optimal bilinear programming for computer vision applications
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
Manmohan Krishna Chandraker, David J. Kriegman
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 2 months ago
A memetic algorithm for the low autocorrelation binary sequence problem
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
José E. Gallardo, Carlos Cotta, Antonio J. ...
AAAI
2012
11 years 11 months ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
14 years 2 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov
CVPR
2008
IEEE
14 years 10 months ago
Smoothing-based Optimization
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
Marius Leordeanu, Martial Hebert