Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition

S Vajda; Y Rangoni; Hubert Cecotti

doi:10.1016/j.patrec.2015.02.001

Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition

S Vajda, Y Rangoni, Hubert Cecotti

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	23-28
Journal	Pattern Recognition Letters
Volume	58
DOIs	https://doi.org/10.1016/j.patrec.2015.02.001
Publication status	Published - 2 Mar 2015

Keywords

character recognition
active learning

Access to Document

10.1016/j.patrec.2015.02.001

Cite this

Vajda, S., Rangoni, Y., & Cecotti, H. (2015). Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognition Letters, 58, 23-28. https://doi.org/10.1016/j.patrec.2015.02.001

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