Travelled to:1 × India
1 × Sweden
2 × China
5 × USA
Collaborated with:G.Nagy D.Sylwester D.W.Embley M.S.Krishnamoorthy A.Samal A.Joshi D.P.Lopresti Y.Yu V.D.Agrawal P.Agrawal L.Li Y.Xu D.Jin S.Machado Y.Lin S.K.Mehta
Talks about:tabl (5) segment (3) extract (3) web (3) header (2) text (2) nonparametr (1) likelihood (1) transform (1) topograph (1)
Person: Sharad C. Seth
DBLP: Seth:Sharad_C=
Contributed to:
2015
2014
2013201120062004200119991995
1981Wrote 11 papers:
- DRR-2015-NagyEKS #category theory #clustering #web
- Clustering header categories extracted from web tables (GN, DWE, MSK, SCS).
- ICPR-2014-EmbleySN #database #relational #web
- Transforming Web Tables to a Relational Database (DWE, SCS, GN), pp. 2781–2786.
- ICDAR-2013-SethN
- Segmenting Tables via Indexing of Value Cells by Table Headers (SCS, GN), pp. 887–891.
- ICDAR-2011-NagySJEMK #web
- Data Extraction from Web Tables: The Devil is in the Details (GN, SCS, DJ, DWE, SM, MSK), pp. 242–246.
- ICPR-v3-2006-JoshiNLS #approach #correlation
- A Maximum-Likelihood Approach to Symbolic Indirect Correlation (AJ, GN, DPL, SCS), pp. 99–103.
- DRR-2004-NagyJKLLMS #classification #parametricity
- A nonparametric classifier for unsegmented text (GN, AJ, MSK, YL, DPL, SKM, SCS), pp. 102–108.
- ICDAR-2001-SylwesterS #adaptation #documentation #image #segmentation
- Adaptive Segmentation of Document Images (DS, SCS), pp. 827–831.
- ICDAR-1999-LiNSSX
- Cooperative Text and Line-Art Extraction from a Topographic Map (LL, GN, AS, SCS, YX), pp. 467–470.
- ICDAR-v2-1995-SylwesterS #algorithm #segmentation
- A trainable, single-pass algorithm for column segmentation (DS, SCS), pp. 615–618.
- ICDAR-v2-1995-YuSS #scalability
- A system for recognizing a large class of engineering drawings (YY, AS, SCS), pp. 791–794.
- DAC-1981-AgrawalSA #fault #quality
- LSI product quality and fault coverage (VDA, SCS, PA), pp. 196–203.