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ICDAR
2003
IEEE
14 years 27 days ago
Confidence Evaluation for Combining Diverse Classifiers
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
ICDAR
2009
IEEE
13 years 5 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
ICANN
2010
Springer
13 years 8 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
PR
2008
108views more  PR 2008»
13 years 7 months ago
From dynamic classifier selection to dynamic ensemble selection
In handwritten pattern recognition, the multiple classifier system has been shown to be useful for improving recognition rates. One of the most important tasks in optimizing a mul...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
ICDAR
2009
IEEE
14 years 2 months ago
Writer Adaptation for Online Handwriting Recognition System Using Virtual Examples
For an online handwriting recognition system equipped with a writer-independent classifier to progressively improve the recognition performance for a specific writer with an incre...
Hidetoshi Miyao, Minoru Maruyama