BibSLEIGH — George

Travelled to:

1 × Australia
1 × Germany
1 × India
1 × Sweden
15 × USA
2 × Canada
2 × Japan
3 × Spain
3 × United Kingdom
4 × China

Collaborated with:

D.P.Lopresti ∅ S.Veeramachaneni S.C.Seth P.Sarkar A.El-Nasan E.H.B.Smith X.Zhang J.Zou T.K.Ho D.W.Embley A.Joshi Y.Xu S.Andra M.S.Krishnamoorthy D.Blostein M.Tamhankar Z.Wu P.Jha R.K.Padmanabhan X.Zhang T.Zhang D.Jung C.Liu L.Lipsky D.Q.Goldin R.Mardales H.Fujisawa J.Zhou J.Kanai T.A.Nartker S.V.Rice M.Sabourin A.Mitiche D.S.Thomas P.Xiu H.S.Baird J.Hu R.S.Kashi G.T.Wilfong L.Li A.Samal D.Jin S.Machado B.Clifford A.Berg G.Saunders Y.Lin S.K.Mehta I.Zavorin E.Borovikov A.Borovikov L.Hernández K.M.Summers M.Turner

Talks about:

tabl (10) recognit (9) style (7) base (7) ballot (5) ocr (5) interact (4) document (4) classifi (4) pattern (4)

Person: George Nagy

DBLP: Nagy:George

Contributed to:

2015

2014

2013

2012

2011

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

1995

1993

Wrote 56 papers:

DRR-2015-NagyEKS #category theory #clustering #web: Clustering header categories extracted from web tables (GN, DWE, MSK, SCS).
DRR-2014-NagyL #distance #similarity: Form similarity via Levenshtein distance between ortho-filtered logarithmic ruling-gap ratios (GN, DPL), pp. 902106–8.
ICPR-2014-EmbleySN #database #relational #web: Transforming Web Tables to a Relational Database (DWE, SCS, GN), pp. 2781–2786.
DRR-2013-LipskyLN #policy: Optimal policy for labeling training samples (LL, DPL, GN).
DRR-2013-Nagy #documentation #fault #image #preprocessor: Preprocessing document images by resampling is error prone and unnecessary (GN).
ICDAR-2013-SethN: Segmenting Tables via Indexing of Value Cells by Table Headers (SCS, GN), pp. 887–891.
DRR-2012-BlosteinN #documentation: Asymptotic cost in document conversion (DB, GN).
DRR-2012-NagyT #named #performance #verification: VeriClick: an efficient tool for table format verification (GN, MT).
DRR-2012-ZhangN: Style comparisons in calligraphy (XZ, GN).
ICPR-2012-LoprestiN #automation: Optimal data partition for semi-automated labeling (DPL, GN), pp. 286–289.
ICPR-2012-Nagy #learning #web: Learning the characteristics of critical cells from web tables (GN), pp. 1554–1557.
DRR-2011-NagyLSW: Characterizing challenged Minnesota ballots (GN, DPL, EHBS, ZW), pp. 1–10.
ICDAR-2011-LoprestiN #problem #question: When is a Problem Solved? (DPL, GN), pp. 32–36.
ICDAR-2011-NagySJEMK #web: Data Extraction from Web Tables: The Devil is in the Details (GN, SCS, DJ, DWE, SM, MSK), pp. 242–246.
ICDAR-2011-NagyZ #image #interactive #named: CalliGUI: Interactive Labeling of Calligraphic Character Images (GN, XZ), pp. 977–981.
ICDAR-2011-SmithLNW #towards: Towards Improved Paper-Based Election Technology (EHBS, DPL, GN, ZW), pp. 1255–1259.
DRR-2009-SmithNL #detection: Mark Detection from Scanned Ballots (EHBS, GN, DPL), pp. 1–10.
ICDAR-2009-NagyCBSLS: Camera-Based Ballot Counter (GN, BC, AB, GS, DPL, EHBS), pp. 151–155.
ICDAR-2009-XiuLBNS #recognition: Style-Based Ballot Mark Recognition (PX, DPL, HSB, GN, EHBS), pp. 216–220.
DRR-2008-Nagy: DRR is a teenager (GN), p. 681502.
ICPR-2008-JhaN #independence #layout #representation: Wang Notation Tool: Layout independent representation of tables (PJ, GN), pp. 1–4.
ICPR-2008-PadmanabhanN #query: Query by table (RKP, GN), pp. 1–4.
ICPR-2008-SmithLN #detection: Ballot mark detection (EHBS, DPL, GN), pp. 1–4.
DRR-2007-AndraNLZBBHST #effectiveness: Frequency coding: an effective method for combining dichotomizers (SA, GN, CLL, IZ, EB, AB, LH, KMS, MT).
DRR-2007-VeeramachaneniN #interactive: Interaction for style-constrained OCR (SV, GN).
CIKM-2006-GoldinMN #algorithm #clustering #distance #sequence: In search of meaning for time series subsequence clustering: matching algorithms based on a new distance measure (DQG, RM, GN), pp. 347–356.
DRR-2006-LoprestiNJ #correlation #generative #graph: Match graph generation for symbolic indirect correlation (DPL, GN, AJ).
ICPR-v2-2006-ZhangN #multi #quantifier: Style Quantification of Scanned Multi-source Digits (XZ, GN), pp. 1018–10121.
ICPR-v3-2006-JoshiNLS #approach #correlation: A Maximum-Likelihood Approach to Symbolic Indirect Correlation (AJ, GN, DPL, SCS), pp. 99–103.
ICPR-v4-2006-AndraN #classification: Combining Dichotomizers for MAP Field Classification (SA, GN), pp. 210–214.
DRR-2005-LoprestiN #documentation: Chipless ID for paper documents (DPL, GN), pp. 208–215.
DRR-2004-NagyJKLLMS #classification #parametricity: A nonparametric classifier for unsegmented text (GN, AJ, MSK, YL, DPL, SKM, SCS), pp. 102–108.
ICPR-v2-2004-ZhangN: Surface Tortuosity and its Application to Analyzing Cracks in Concrete (TZ, GN), pp. 851–854.
ICPR-v2-2004-ZouN #evaluation #interactive #modelling #recognition: Evaluation of Model-Based Interactive Flower Recognition (JZ, GN), pp. 311–314.
ICPR-v4-2004-Nagy #pattern matching #pattern recognition #recognition #visual notation: Visual Pattern Recognition in the Years Ahead (GN), pp. 7–10.
ICDAR-2003-El-NasanVN #n-gram #recognition #using: Handwriting Recognition Using Position Sensitive Letter N-Gram Matching (AEN, SV, GN), p. 577–?.
ICDAR-2003-VeeramachaneniN #towards: Towards a Ptolemaic Model for OCR (SV, GN), pp. 1060–1064.
ICPR-v2-2002-NagyZ #interactive #pattern matching #pattern recognition #recognition #visual notation: Interactive Visual Pattern Recognition (GN, JZ), pp. 478–481.
ICPR-v2-2002-VeeramachaneniFLN #classification #polynomial: Style-Conscious Quadratic Field Classifier (SV, HF, CLL, GN), pp. 72–75.
ICPR-v3-2002-EI-NasanN #online #recognition: On-Line Handwriting Recognition Based on Bigram Co-Occurrences (AEN, GN), p. 740–?.
ICDAR-2001-El-NasanVN #word: Word Discrimination Based on Bigram Co-Occurrences (AEN, SV, GN), pp. 149–153.
ICDAR-2001-HoN #classification #constraints: Exploration of Contextual Constraints for Character Pre-Classification (TKH, GN), pp. 450–454.
ICDAR-2001-HuKLWN #why: Why Table Ground-Truthing is Hard (JH, RSK, DPL, GTW, GN), pp. 129–133.
ICDAR-2001-Nagy #recognition: Advanced Character Recognition 6610 (GN), p. 2.
ICDAR-2001-SarkarN: Style-Consistency in Isogenous Patterns (PS, GN), pp. 1169–1175.
ICPR-v2-2000-El-NasanN: Ink-Link (AEN, GN), pp. 2573–2576.
ICPR-v2-2000-SarkarN #classification: Classification of Style-Constrained Pattern-Fields (PS, GN), pp. 2855–2858.
ICPR-v4-2000-HoN: OCR with No Shape Training (TKH, GN), pp. 4027–4030.
ICDAR-1999-LiNSSX: Cooperative Text and Line-Art Extraction from a Topographic Map (LL, GN, AS, SCS, YX), pp. 467–470.
ICDAR-1999-SarkarN: Heeding More Than the Top Template (PS, GN), pp. 382–385.
ICPR-1998-Nagy #estimation #learning #persistent: Persistent issues in learning and estimation (GN), pp. 561–564.
ICDAR-1997-NagyX #adaptation #automation #prototype: Automatic Prototype Extracion for Adaptive OCR (GN, YX), pp. 278–282.
ICDAR-v1-1995-LoprestiZNS #recognition: Spatial sampling effects in optical character recognition (DPL, JZ, GN, PS), pp. 309–314.
ICDAR-v2-1995-JungN #classification #design: Joint feature and classifier design for OCR (DMJ, GN), pp. 1115–1118.
ICDAR-1993-KanaiNRN #comprehension #documentation #metric #performance: Performance metrics for document understanding systems (JK, TAN, SVR, GN), pp. 424–427.
ICDAR-1993-SabourinMTN #classification #recognition: Classifier combination for hand-printed digit recognition (MS, AM, DST, GN), pp. 163–166.