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2004
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Sequence Recognition with Scanning N-Tuple Ensembles

9 years 6 months ago
Sequence Recognition with Scanning N-Tuple Ensembles
The Scanning N-Tuple classifier (SNT) is a fast and accurate method for classifying sequences. Applications include both on-line and off-line hand-written character recognition. SNTs have conventionally been trained using maximum likelihood parameter estimation. This paper describes a discriminative training rule that can be applied to ensembles of SNTs. Results demonstrate a significant improvement for the discriminative ensemble method. For comparison purposes we also implemented a Support Vector Machine (SVM) operating in the sequence domain. We tested each method on a chain-coded version of the MNIST hand-written digit dataset. The SNT is not quite as accurate as the SVM, but is much faster both in training and recognition.
Simon M. Lucas, Tzu-Kuo Huang
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Simon M. Lucas, Tzu-Kuo Huang
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