Object Recognition with Gradient-Based Learning
Shape, Contour and Grouping in Computer Vision
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Multi-Scale Multi-Resolution Stacked Sequential Learning
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Multi-Scale Multi-Resolution Stacked Sequential Learning
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
Multi-scale stacked sequential learning
Pattern Recognition
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
From machine learning to machine reasoning
Machine Learning
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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 that take graphs as inputs and produce graphs as output. Training is performed by computing gradients of a global objective function with respect to all the parameters in the system using a kind of back-propagation procedure.A complete check reading system based on these concepts is described. The system uses convolutional neural network character recognizers, combined with global training techniques to provide record accuracy on business and personal checks. It is presently deployed commercially and reads million of checks per month.