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  • Gradient-based learning applied to document recognition
    Real-life document recognition systems are composed of multiple modules including field extraction, segmentation recognition, and language modeling A new learning paradigm, called graph transformer networks (GTN), allows such multimodule systems to be trained globally using gradient-based methods so as to minimize an overall performance measure
  • GradientBased Learning Applied to Document Recognition
    Real-life document recognition systems are composed of multiple modules including field extraction, segmentation, recognition, and language modeling A new learning paradigm, called Graph Transformer Networks (GTN), allows such multi-module systems to be trained globally using Gradient-Based methods so as to minimize an overall performance measure
  • Backpropagation Applied to Handwritten Zip Code Recognition
    The ability of learning networks to generalize can be greatly enhanced by providing constraints from the task domain This paper demonstrates how such constraints can be integrated into a backpropagation network through the architecture of the network This approach has been successfully applied to the recognition of handwritten zip code digits provided by the U S Postal Service A single
  • HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers
    11 Y Lecun, et al , “Gradient-based learning applied to document recognition,” Proceedings of the IEEE, 86 ( 11 ), Nov 1998
  • Patrick Haffner - IEEE Xplore Author Profile
    In 1995, he joined Yann LeCun's team at AT T labs to work on the first deep learning architecture that used Finite State Transducers for Document recognition In 1998, he applied statistical learning principles to implement a robust document segmentation algorithm for the DjVu document distribution system
  • Scaling Learning Algorithms toward AI - IEEE Xplore
    This chapter contains sections titled: Introduction, LearningModels Toward AI, Learning Architectures, Shallow and Deep, Fundamental Limitation of Local Learning, Deep Architectures, Experiments with Visual Pattern Recognition, Conclusion
  • Self-consistent Temperature Compensation For Resonant Sensors With . . .
    IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology | IEEE Xplore
  • IEEE Xplore Search Results
    Sort By Relevance Gradient-based learning applied to document recognition Y Lecun; L Bottou; Y Bengio; P Haffner Proceedings of the IEEE Year: 1998 | Volume: 86, Issue: 11 | Journal Article | Publisher: IEEE Cited by: Papers (43898) | Patents (212) Abstract GradientBased Learning Applied to Document Recognition Simon Haykin ; Bart Kosko
  • BN-DTI: A deep learning based sequence feature . . . - IEEE Xplore
    21 Y Lecun, L Bottou, Y Bengio and P Haffner Gradient-based learning applied to document recognition In Proceedings of the IEEE, 86 ( 11 ): 2278–2324, 1998





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