Travelled to:1 × Brazil
1 × China
1 × Japan
1 × South Korea
1 × Spain
1 × Turkey
1 × USA
Collaborated with:R.Prasad P.Natarajan H.Cao P.Natarajan A.Bhardwaj X.Peng M.Kamali C.Wacharamanotham S.T.Völkel J.O.Borchers M.Decerbo D.A.Castañón J.Chen P.Natarajan D.Belanger S.Saleem
Talks about:recognit (4) handwrit (4) offlin (4) stochast (2) segment (2) extract (2) stroke (2) model (2) base (2) arab (2)
Person: Krishna Subramanian
DBLP: Subramanian:Krishna
Contributed to:
2015
2013
20122011201020092007Wrote 8 papers:
- CHI-2015-Wacharamanotham #analysis #named #statistics
- Statsplorer: Guiding Novices in Statistical Analysis (CW, KS, STV, JOB), pp. 2693–2702.
- ICDAR-2013-PengCSPN #documentation
- Exploiting Stroke Orientation for CRF Based Binarization of Historical Documents (XP, HC, KS, RP, PN), pp. 1034–1038.
- ICPR-2012-CaoSPCPN
- Extracting information from handwritten content in census forms (HC, KS, XP, JC, RP, PN), pp. 306–309.
- ICDAR-2011-NatarajanBPKSN #recognition
- Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition (PN, DB, RP, MK, KS, PN), pp. 329–333.
- ICPR-2010-PrasadBSCN #adaptation #probability #recognition
- Stochastic Segment Model Adaptation for Offline Handwriting Recognition (RP, AB, KS, HC, PN), pp. 1993–1996.
- ICDAR-2009-NatarajanSBP #modelling #probability #recognition
- Stochastic Segment Modeling for Offline Handwriting Recognition (PN, KS, AB, RP), pp. 971–975.
- ICDAR-2009-SaleemCSKPN #recognition
- Improvements in BBN’s HMM-Based Offline Arabic Handwriting Recognition System (SS, HC, KS, MK, RP, PN), pp. 773–777.
- ICDAR-2007-SubramanianNDC #detection
- Character-Stroke Detection for Text-Localization and Extraction (KS, PN, MD, DAC), pp. 33–37.