Anand S's research while affiliated with Sri Sai University and other places

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Publication (1)

A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition
Conference Paper
  • Jan 2009
Practical applications of online handwritten character recognition demand robust and highly accurate recognition along with low memory requirements. The Active-DTW [11] classifier proposed by Sridhar et al. combines the advantages of generative and discriminative classifiers to address the similarity of between-class samples, while taking into acco...
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... The recognized class according to this Active-DTW classifier would be the class with the minimum Active-DTW distance to the test sample, i.e. recognized class. Vandan et al. [12] , uses the Active-DTW [15] classifier proposed by Sridhar et al., to propose a supervised adaptation framework for the Active-DTW classifier in an on-line handwriting recognition system which allows recognition to begin with a small number of training samples, and adapts the classifier to the new samples presented to the system during recognition. ...
Reference: Fast Key-Word Searching via Embedding and Active-DTW
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