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» Learning with Local and Global Consistency
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PRL
1998
87views more  PRL 1998»
15 years 3 months ago
Global and local neural network ensembles
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
A. Sierra, Carlos Santa Cruz
IJCAI
1989
15 years 5 months ago
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
Vasant Honavar, Leonard Uhr
ICPR
2006
IEEE
1292views computer vision» more  ICPR 2006»
16 years 5 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...
AUSAI
2005
Springer
15 years 9 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
ICML
2004
IEEE
16 years 4 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...