1.1k citations · 1.4k across the 5 of their papers we have counts for
5 papers
Object Recognition with Multi-Scale Pyramidal Pooling Networks
Jonathan Masci, Ueli Meier, Gabriel Fricout +1
We present a Multi-Scale Pyramidal Pooling Network, featuring a novel pyramidal pooling layer at multiple scales and a novel encoding layer. Thanks to the former the network does n…
Multi-column Deep Neural Networks for Image Classification
Dan Cireşan, Ueli Meier, Juergen Schmidhuber
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically…
Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs
Dan C. Cireşan, Ueli Meier, Luca M. Gambardella +1
The competitive MNIST handwritten digit recognition benchmark has a long history of broken records since 1998. The most recent substantial improvement by others dates back 7 years…
High-Performance Neural Networks for Visual Object Classification
Dan C. Cireşan, Ueli Meier, Jonathan Masci +2
We present a fast, fully parameterizable GPU implementation of Convolutional Neural Network variants. Our feature extractors are neither carefully designed nor pre-wired, but rathe…
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella +1
Good old on-line back-propagation for plain multi-layer perceptrons yields a very low 0.35% error rate on the famous MNIST handwritten digits benchmark. All we need to achieve this…