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» Learning with Neural Networks in the Domain of Graphs
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ICPR
2006
IEEE
15 years 10 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
CVPR
1997
IEEE
15 years 11 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
ICMLA
2003
14 years 11 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken
ESANN
2006
14 years 11 months ago
Cluster detection algorithm in neural networks
Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
David Meunier, Hélène Paugam-Moisy
SEMWEB
2009
Springer
15 years 4 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
Yefei Peng, Paul W. Munro, Ming Mao