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- Gradient-based learning applied to document recognition
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 Two systems for online handwriting recognition are described
- Gradient-based learning applied to document recognition
Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters, with minimal preprocessing
- Gradient-based learning applied to document recognition
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 Two systems for online handwriting recognition are described
- Gradient-based Learning Applied to Document Recognition - Semantic Scholar
Key message: better pattern recognition systems can be built by relying more on automatic learning and less on hand-designed heuristics (b) invariant to transformations and distortions of the input patterns LeCun’s most cited paper SVM (and kernel learning) are quite popular Hand-crafted features (e g SIFT) are dominant
- Gradient-Based Learning Applied to Document Recognition - Academia. edu
Gradient-based learning minimizes manual feature extraction, enhancing document recognition efficiency Global training optimizes multiple modules in document recognition systems, improving accuracy and reducing errors
- Gradient-Based Learning Applied to Document Recognition - ResearchGate
Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as
- Gradient-Based Learning Applied to Document Recognition
Handwriting Recognition • Problem 1: recognize individual characters • Problem 2: separate out characters from neighbors • Heuristic Over-Segmentation – Generate a lot of potential cuts, and select the best combination of cuts based on scores for each candidate character – But: Is half of ‘4’ a ‘1’? Is half of ‘8’ a ‘3’?
- Gradient-based learning applied to document recognition - INSPIRE-HEP
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 Two systems for online handwriting recognition are described
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