Travelled to:1 × Korea
1 × South Korea
1 × United Kingdom
2 × USA
Collaborated with:K.Chellapilla D.Steinkraus P.A.Viola M.Shilman D.Bargeron R.Nickolov M.Agrawala D.Steinkrau I.Buck J.C.Platt K.Larson M.Czerwinski C.E.Jacobs J.Rinker Z.Wei S.Raghupathy D.Jones R.Szeliski J.Benaloh J.Couvreur I.Calinov S.Amershi M.Chickering S.M.Drucker B.Lee J.Suh P.Haffner L.Bottou P.G.Howard Y.Bengio Y.LeCun
Talks about:document (4) recognit (3) learn (3) human (3) charact (2) analysi (2) machin (2) text (2) imag (2) use (2)
Person: Patrice Y. Simard
DBLP: Simard:Patrice_Y=
Contributed to:
2015
20062005
20052003
1998Wrote 12 papers:
- CHI-2015-AmershiCDLSS #analysis #machine learning #named #performance #tool support
- ModelTracker: Redesigning Performance Analysis Tools for Machine Learning (SA, MC, SMD, BL, PYS, JS), pp. 337–346.
- DRR-2006-ChellapillaSS #classification
- Optimally combining a cascade of classifiers (KC, MS, PYS).
- CHI-2005-ChellapillaLSC #design #interactive #proving
- Designing human friendly human interaction proofs (HIPs) (KC, KL, PYS, MC), pp. 711–720.
- ICDAR-2005-BargeronVS #detection #learning
- Boosting-based Transductive Learning for Text Detection (DB, PAV, PYS), pp. 1166–1171.
- ICDAR-2005-ChellapillaSN #documentation #performance #recognition
- Fast Optical Character Recognition through Glyph Hashing for Document Conversion (KC, PYS, RN), pp. 829–834.
- ICDAR-2005-JacobsSVR #documentation #image #recognition
- Text Recognition of Low-resolution Document Images (CEJ, PYS, PAV, JR), pp. 695–699.
- ICDAR-2005-SimardSA #normalisation
- Ink Normalization and Beautification (PYS, DS, MA), pp. 1182–1187.
- ICDAR-2005-SteinkrauSB #algorithm #machine learning #using
- Using GPUs for Machine Learning Algorithms (DS, PYS, IB), pp. 1115–1119.
- ICDAR-2003-ShilmanWRSJ
- Discerning Structure from Freeform Handwritten Notes (MS, ZW, SR, PYS, DJ), pp. 60–65.
- ICDAR-2003-SimardSBCC #recognition #segmentation #using
- Using Character Recognition and Segmentation to Tell Computer from Humans (PYS, RS, JB, JC, IC), pp. 418–423.
- ICDAR-2003-SimardSP #analysis #documentation #network #visual notation
- Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis (PYS, DS, JCP), pp. 958–962.
- ADL-1998-HaffnerBHSBC #documentation #image #quality
- Browsing through High Quality Document Images with DjVu (PH, LB, PGH, PYS, YB, YL), pp. 309–318.