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Best practices for convolutional neural networks applied to visual document analysis

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Published in: Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

Date of Conference: 06-06 August 2003

Date Added to IEEE Xplore: 08 September 2003

Print ISBN:0-7695-1960-1

DOI: 10.1109/ICDAR.2003.1227801

Conference Location: Edinburgh, UK

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1. Introduction

After being extremely popular in the early 1990s, neural networks have fallen out of favor in research in the last 5 years. In 2000, it was even pointed out by the organizers of the Neural Information Processing System (NIPS) conference that the term “neural networks” in the submission title was negatively correlated with acceptance. In contrast, positive correlations were made with support vector machines (SVMs), Bayesian networks, and variational methods.

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Best practices for convolutional neural networks applied to visual document analysis

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