Travelled to:1 × Brazil
1 × Korea
1 × Spain
1 × USA
1 × United Kingdom
2 × China
2 × France
Collaborated with:T.Paquet L.Heutte D.Hebert P.Tranouez V.Dovgalecs A.Burnett F.Zirari A.Ennaji D.Mammass F.Montreuil E.Grosicki J.Dardenne Y.Kessentini M.Delalandre É.Trupin J.Ogier T.Palfray Y.Liang R.M.Guest M.C.Fairhurst
Talks about:document (8) segment (5) use (5) handwritten (3) extract (3) random (3) field (3) imag (3) structur (2) approach (2)
Person: Stéphane Nicolas
DBLP: Nicolas:St=eacute=phane
Contributed to:
2013
2012201120092007
2006200520032003Wrote 12 papers:
- ICDAR-2013-DovgalecsBTNH #documentation #exclamation #word
- Spot It! Finding Words and Patterns in Historical Documents (VD, AB, PT, SN, LH), pp. 1039–1043.
- ICDAR-2013-HebertNP #documentation #framework #image
- Discrete CRF Based Combination Framework for Document Image Binarization (DH, SN, TP), pp. 1165–1169.
- ICDAR-2013-ZirariENM #analysis #component #documentation #image #segmentation #using
- A Document Image Segmentation System Using Analysis of Connected Components (FZ, AE, SN, DM), pp. 753–757.
- DocEng-2012-PalfrayHNTP #logic #segmentation
- Logical segmentation for article extraction in digitized old newspapers (TP, DH, SN, PT, TP), pp. 129–132.
- DocEng-2012-TranouezNDBHLGF #documentation #named #physics
- DocExplore: overcoming cultural and physical barriers to access ancient documents (PT, SN, VD, AB, LH, YL, RMG, MCF), pp. 205–208.
- ICDAR-2011-HebertPN #multi
- Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper (DH, TP, SN), pp. 493–497.
- ICDAR-2009-MontreuilGHN #2d #documentation #layout #random #using
- Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields (FM, EG, LH, SN), pp. 853–857.
- ICDAR-2007-NicolasDPH #2d #documentation #image #random #segmentation #using
- Document Image Segmentation Using a 2D Conditional Random Field Model (SN, JD, TP, LH), pp. 407–411.
- ICPR-v3-2006-NicolasPH #approach #documentation #markov #segmentation
- A Markovian Approach for Handwritten Document Segmentation (SN, TP, LH), pp. 292–295.
- ICDAR-2005-NicolasKPH #documentation #markov #random #segmentation #using
- Handwritten Document Segmentation Using Hidden Markov Random Fields (SN, YK, TP, LH), pp. 212–216.
- DocEng-2003-NicolasPH
- Digitizing cultural heritage manuscripts: the Bovary project (SN, TP, LH), pp. 55–57.
- ICDAR-2003-DelalandreNTO #recognition #representation #xml
- Symbols Recognition by Global-Local Structural Approaches, Based on the Scenarios Use, and with a XML Representation of Data (MD, SN, ÉT, JMO), pp. 1002–1006.