Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural Computation
Training Invariant Support Vector Machines
Machine Learning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Using GPUs for Machine Learning Algorithms
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A trainable feature extractor for handwritten digit recognition
Pattern Recognition
Technical Section: Neural network-based symbol recognition using a few labeled samples
Computers and Graphics
On fast deep nets for AGI vision
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Training of sparsely connected MLPs
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
A note on computational intelligence methods in biometrics
International Journal of Biometrics
Flexible, high performance convolutional neural networks for image classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Gated boltzmann machine in texture modeling
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
An efficient way of combining SVMs for handwritten digit recognition
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Learn to swing up and balance a real pole based on raw visual input data
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Sparse activity and sparse connectivity in supervised learning
The Journal of Machine Learning Research
Semi-supervised object recognition based on Connected Image Transformations
Expert Systems with Applications: An International Journal
A modular neural network architecture with concept
Neurocomputing
A novel prototype generation technique for handwriting digit recognition
Pattern Recognition
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Good old online backpropagation for plain multilayer perceptrons yields a very low 0.35% error rate on the MNIST handwritten digits benchmark. All we need to achieve this best result so far are many hidden layers, many neurons per layer, numerous deformed training images to avoid overfitting, and graphics cards to greatly speed up learning.