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» Function Optimization with Coevolutionary Algorithms
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ICML
2009
IEEE
16 years 3 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
144
Voted
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
15 years 7 months ago
Finding Building Blocks through Eigenstructure Adaptation
A fundamental aspect of many evolutionary approaches to synthesis of complex systems is the need to compose atomic elements into useful higher-level building blocks. However, the ...
Danica Wyatt, Hod Lipson
CSDA
2007
99views more  CSDA 2007»
15 years 2 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
104
Voted
SIAMJO
2000
76views more  SIAMJO 2000»
15 years 2 months ago
Superlinear Convergence and Implicit Filtering
In this note we show how the implicit filtering algorithm can be coupled with the BFGS quasi-Newton update to obtain a superlinearly convergent iteration if the noise in the object...
T. D. Choi, C. T. Kelley
120
Voted
CVPR
2005
IEEE
16 years 4 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas