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 › peer-review

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 (in print/issue) - 2 Mar 2015

Keywords

character recognition
active learning

Access to Document

10.1016/j.patrec.2015.02.001

Cite this

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

keywords = "character recognition, active learning",

author = "S Vajda and Y Rangoni and Hubert Cecotti",

year = "2015",

month = mar,

day = "2",

doi = "10.1016/j.patrec.2015.02.001",

language = "English",

volume = "58",

pages = "23--28",

journal = "Pattern Recognition Letters",

issn = "1872-7344",

publisher = "Elsevier",

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T1 - Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition

AU - Vajda, S

AU - Rangoni, Y

AU - Cecotti, Hubert

PY - 2015/3/2

Y1 - 2015/3/2

KW - character recognition

KW - active learning

U2 - 10.1016/j.patrec.2015.02.001

DO - 10.1016/j.patrec.2015.02.001

M3 - Article

SN - 1872-7344

VL - 58

SP - 23

EP - 28

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

ER -