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CVPR
1997
IEEE
16 years 3 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 8 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
PAMI
2002
112views more  PAMI 2002»
15 years 1 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
ICML
2003
IEEE
16 years 2 months ago
Probabilistic Classifiers and the Concepts They Recognize
We investigate algebraic, logical, and geometric properties of concepts recognized by various classes of probabilistic classifiers. For this we introduce a natural hierarchy of pr...
Manfred Jaeger
KES
2007
Springer
15 years 8 months ago
Handwritten Greek Character Recognition with Learning Vector Quantization
Abstract. This paper presents a handwritten Greek character recognizer. The recognizer is composed of two modules: the first one is a feature extractor, the second one, the classi...
Francesco Camastra