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» Learning invariance through imitation
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ICPR
2006
IEEE
1292views computer vision» more  ICPR 2006»
14 years 7 months ago
Learning-Based License Plate Detection Using Global and Local Features
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
Huaifeng Zhang, Qiang Wu, Wenjing Jia, Xiangjian H...
ICDCS
2012
IEEE
11 years 8 months ago
Securing Virtual Coordinates by Enforcing Physical Laws
—Virtual coordinate systems (VCS) provide accurate estimations of latency between arbitrary hosts on a network, while conducting a small amount of actual measurements and relying...
Jeffrey Seibert, Sheila Becker, Cristina Nita-Rota...
JCST
2010
153views more  JCST 2010»
13 years 1 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
LACL
2001
Springer
13 years 10 months ago
Structural Equations in Language Learning
In categorial systems with a fixed structural component, the learning problem comes down to finding the solution for a set of typeassignment equations. A hard-wired structural co...
Michael Moortgat