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2020 – today
- 2023
[j65]George Nagy
:
Reflections of an ancient document processor. Pattern Recognit. Lett. 166: 76-79 (2023)- 2022
- [c114]George Nagy, Mukkai S. Krishnamoorthy:
MeFirst ranking and multiple dichotomies : Via Linear Programming and Neural Networks. ICPR 2022: 550-556 - [c113]George Nagy, Mukkai S. Krishnamoorthy:
One-Against-All Halfplane Dichotomies. S+SSPR 2022: 183-192 - 2021
- [c112]George Nagy:
Generalized Template Matching for Semi-structured Text. HIP@ICDAR 2021: 55-60 - [c111]Daniel Lopresti, George Nagy:
Competition and Collaboration in Document Analysis and Recognition. ICDAR (1) 2021: 176-187 - [c110]George Nagy:
Near-Perfect Relation Extraction from Family Books. ICDAR (3) 2021: 477-491 - [c109]Daniel Lopresti, George Nagy:
Reproducibility: Evaluating the Evaluations. RRPR 2021: 12-23 - [c108]Alexandra Branzan Albu, George Nagy:
Imaging Reality and Abstraction an Exploration of Natural and Symbolic Patterns. VISIGRAPP (4: VISAPP) 2021: 415-422 - 2020
- [j64]George Nagy:
Document analysis systems that improve with use. Int. J. Document Anal. Recognit. 23(1): 13-29 (2020) - [j63]George Nagy:
Green Information Extraction from Family Books. SN Comput. Sci. 1(1): 23:1-23:12 (2020)
2010 – 2019
- 2018
- [j62]George Nagy:
The Lifetime Reader. IEEE Pervasive Comput. 17(4): 86-95 (2018) - [c107]David W. Embley, George Nagy:
Green Interaction for Extracting Family Information from OCR'd Books. DAS 2018: 127-132 - 2017
- [c106]George Nagy:
A Billion Words to Remember. MOBMU 2017: 40-43 - 2016
- [j61]David W. Embley, Mukkai S. Krishnamoorthy, George Nagy, Sharad C. Seth:
Converting heterogeneous statistical tables on the web to searchable databases. Int. J. Document Anal. Recognit. 19(2): 119-138 (2016) - [j60]Jin Chen, Daniel P. Lopresti, George Nagy:
Conservative preprocessing of document images. Int. J. Document Anal. Recognit. 19(4): 321-333 (2016) - [j59]George Nagy:
Disruptive developments in document recognition. Pattern Recognit. Lett. 79: 106-112 (2016) - [c105]George Nagy:
Training a calligraphy style classifier on a non-representative training set. Document Recognition and Retrieval 2016: 1-8 - [c104]George Nagy, Sharad C. Seth:
Table headers: An entrance to the data mine. ICPR 2016: 4065-4070 - 2015
- [j58]Xiafen Zhang, George Nagy:
Computational method for calligraphic style representation and classification. J. Electronic Imaging 24(5): 053003 (2015) - [c103]George Nagy, David W. Embley, Mukkai S. Krishnamoorthy, Sharad C. Seth:
Clustering header categories extracted from web tables. DRR 2015: 94020M - [c102]George Nagy, Naomi Nagy:
Tongue in Cheek. ICIAP (1) 2015: 332-342 - 2014
- [j57]George Nagy:
Invariant representation for rectilinear rulings. J. Electronic Imaging 23(6): 063011 (2014) - [j56]George Nagy:
Notes on An Interdisciplinary Introduction to Image Processing. Signal Image Video Process. 8(2): 397-398 (2014) - [c101]George Nagy, Sharad C. Seth, David W. Embley:
End-to-End Conversion of HTML Tables for Populating a Relational Database. Document Analysis Systems 2014: 222-226 - [c100]George Nagy, Daniel P. Lopresti:
Form similarity via Levenshtein distance between ortho-filtered logarithmic ruling-gap ratios. DRR 2014: 902106-902106-8 - [c99]David W. Embley, Sharad C. Seth, George Nagy:
Transforming Web Tables to a Relational Database. ICPR 2014: 2781-2786 - [c98]George Nagy:
On Parallel Lines in Noisy Forms. S+SSPR 2014: 173-182 - 2013
- [c97]George Nagy:
Preprocessing document images by resampling is error prone and unnecessary. DRR 2013: 86580U - [c96]Lester Lipsky, Daniel P. Lopresti, George Nagy:
Optimal policy for labeling training samples. DRR 2013: 865809 - [c95]Sharad C. Seth, George Nagy:
Segmenting Tables via Indexing of Value Cells by Table Headers. ICDAR 2013: 887-891 - 2012
- [c94]Daniel P. Lopresti, George Nagy:
Adapting the Turing Test for Declaring Document Analysis Problems Solved. Document Analysis Systems 2012: 1-5 - [c93]Dorothea Blostein, George Nagy:
Asymptotic cost in document conversion. DRR 2012: 82970N - [c92]George Nagy, Mangesh Tamhankar:
VeriClick: an efficient tool for table format verification. DRR 2012: 82970M - [c91]Xiafen Zhang, George Nagy:
Style comparisons in calligraphy. DRR 2012: 82970O - [c90]Daniel P. Lopresti, George Nagy:
Optimal data partition for semi-automated labeling. ICPR 2012: 286-289 - [c89]George Nagy:
Learning the characteristics of critical cells from web tables. ICPR 2012: 1554-1557 - [c88]George Nagy:
Estimation, Learning, and Adaptation: Systems That Improve with Use. SSPR/SPR 2012: 1-10 - 2011
- [c87]George Nagy, Daniel P. Lopresti, Elisa H. Barney Smith, Ziyan Wu:
Characterizing challenged Minnesota ballots. DRR 2011: 787413 - [c86]Daniel P. Lopresti, George Nagy:
When is a Problem Solved? ICDAR 2011: 32-36 - [c85]Xiafen Zhang, George Nagy:
The CADAL calligraphic database. HIP@ICDAR 2011: 37-42 - [c84]George Nagy, Sharad C. Seth, Dongpu Jin, David W. Embley, Spencer Machado, Mukkai S. Krishnamoorthy:
Data Extraction from Web Tables: The Devil is in the Details. ICDAR 2011: 242-246 - [c83]George Nagy, Xiafen Zhang:
CalliGUI: Interactive Labeling of Calligraphic Character Images. ICDAR 2011: 977-981 - [c82]Elisa H. Barney Smith, Daniel P. Lopresti, George Nagy, Ziyan Wu:
Towards Improved Paper-Based Election Technology. ICDAR 2011: 1255-1259 - [c81]David W. Embley, Mukkai S. Krishnamoorthy, George Nagy, Sharad C. Seth:
Factoring Web Tables. IEA/AIE (1) 2011: 253-263 - 2010
- [c80]Sharad C. Seth, Ramana Chakradhar Jandhyala, Mukkai S. Krishnamoorthy, George Nagy:
Analysis and taxonomy of column header categories for web tables. Document Analysis Systems 2010: 81-88 - [c79]Daniel P. Lopresti, George Nagy, Elisa H. Barney Smith:
Document analysis issues in reading optical scan ballots. Document Analysis Systems 2010: 105-112
2000 – 2009
- 2009
- [j55]George Nagy, Sharad C. Seth, Mahesh Viswanathan:
Comment: Projection Methods Require Black Border Removal. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 762 (2009) - [c78]Daniel P. Lopresti, George Nagy:
Tools for monitoring, visualizing, and refining collections of noisy documents. AND 2009: 9-16 - [c77]Elisa H. Barney Smith, George Nagy, Daniel P. Lopresti:
Mark Detection from Scanned Ballots. DRR 2009: 72470P - [c76]Raghav Krishna Padmanabhan, Ramana Chakradhar Jandhyala, Mukkai S. Krishnamoorthy, George Nagy, Sharad C. Seth, William Silversmith:
Interactive Conversion of Web Tables. GREC 2009: 25-36 - [c75]George Nagy, Bryan Clifford, Andrew Berg, Glenn Saunders, Daniel P. Lopresti, Elisa H. Barney Smith:
Camera-Based Ballot Counter. ICDAR 2009: 151-155 - [c74]Pingping Xiu, Daniel P. Lopresti, Henry S. Baird, George Nagy, Elisa H. Barney Smith:
Style-Based Ballot Mark Recognition. ICDAR 2009: 216-220 - [c73]Ramana Chakradhar Jandhyala, Mukkai S. Krishnamoorthy, George Nagy, Raghav K. Padmanabhan, Sharad C. Seth, William Silversmith:
From Tessellations to Table Interpretation. Calculemus/MKM 2009: 422-437 - 2008
- [j54]George Nagy, Biplab Sikdar:
Classification and Evaluation of Examples for Teaching Probability to Electrical Engineering Students. IEEE Trans. Educ. 51(4): 476-483 (2008) - [c72]Daniel P. Lopresti, George Nagy, Elisa H. Barney Smith:
A Document Analysis System for Supporting Electronic Voting Research. Document Analysis Systems 2008: 167-174 - [c71]George Nagy:
DRR is a teenager. DRR 2008: 681502 - [c70]David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, George Nagy, Yuri A. Tijerino, Robert Clawson, Jordan Crabtree, Yihong Ding, Piyushee Jha, Zonghui Lian, Stephen Lynn, Raghav K. Padmanabhan, Jeff Peters, Cui Tao, Robby Watts, Charla Woodbury, Andrew Zitzelberger:
A Conceptual-Model-Based Computational Alembic for a Web of Knowledge. ER 2008: 532-533 - [c69]Piyushee Jha, George Nagy:
Wang Notation Tool: Layout independent representation of tables. ICPR 2008: 1-4 - [c68]Raghav K. Padmanabhan, George Nagy:
Query by table. ICPR 2008: 1-4 - [c67]Elisa H. Barney Smith, Daniel P. Lopresti, George Nagy:
Ballot mark detection. ICPR 2008: 1-4 - [p2]George Nagy, Sriharsha Veeramachaneni:
Adaptive and Interactive Approaches to Document Analysis. Machine Learning in Document Analysis and Recognition 2008: 221-257 - 2007
- [j53]Sriharsha Veeramachaneni, George Nagy:
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1280-1285 (2007) - [j52]Jie Zou, George Nagy:
Visible models for interactive pattern recognition. Pattern Recognit. Lett. 28(16): 2335-2342 (2007) - [j51]Jie Zou, Qiang Ji, George Nagy:
A Comparative Study of Local Matching Approach for Face Recognition. IEEE Trans. Image Process. 16(10): 2617-2628 (2007) - [c66]Srinivas Andra, George Nagy, Cheng-Lin Liu, Ilya Zavorin, Eugene Borovikov, Anna Borovikov, Luis Hernández, Kristen Maria Summers, Mark Turner:
Frequency coding: an effective method for combining dichotomizers. DRR 2007: 650004 - [c65]Sriharsha Veeramachaneni, George Nagy:
Interaction for style-constrained OCR. DRR 2007: 650006 - 2006
- [j50]David W. Embley, Matthew Hurst, Daniel P. Lopresti, George Nagy:
Table-processing paradigms: a research survey. Int. J. Document Anal. Recognit. 8(2-3): 66-86 (2006) - [c64]Dina Q. Goldin, Ricardo Mardales, George Nagy:
In search of meaning for time series subsequence clustering: matching algorithms based on a new distance measure. CIKM 2006: 347-356 - [c63]David W. Embley, Daniel P. Lopresti, George Nagy:
Notes on Contemporary Table Recognition. Document Analysis Systems 2006: 164-175 - [c62]George Nagy, Daniel P. Lopresti:
Interactive Document Processing and Digital Libraries. DIAL 2006: 2-11 - [c61]Elisa H. Barney Smith, Henry S. Baird, William A. Barrett, Frank Le Bourgeois, Xiaofan Lin, George Nagy, Steven J. Simske:
DIAL 2004 Working Group Report on Acquisition Quality Control. DIAL 2006: 373-376 - [c60]Daniel P. Lopresti, George Nagy, Ashutosh Joshi:
Match graph generation for symbolic indirect correlation. DRR 2006: 606706 - [c59]Ashutosh Joshi, George Nagy, Daniel P. Lopresti, Sharad C. Seth:
A Maximum-Likelihood Approach to Symbolic Indirect Correlation. ICPR (3) 2006: 99-103 - [c58]Srinivas Andra, George Nagy:
Combining Dichotomizers for MAP Field Classification. ICPR (4) 2006: 210-214 - [c57]Xiaoli Zhang, George Nagy:
Style Quantification of Scanned Multi-source Digits. ICPR (2) 2006: 1018-1021 - [c56]George Nagy:
Digitizing, coding, annotating, disseminating, and preserving documents. IWRIDL 2006: 11 - [c55]Daniel P. Lopresti, George Nagy, Sharad C. Seth, Xiaoli Zhang:
Multi-character Field Recognition for Arabic and Chinese Handwriting. SACH 2006: 218-230 - 2005
- [j49]Sriharsha Veeramachaneni, George Nagy:
Style Context with Second-Order Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 14-22 (2005) - [j48]Prateek Sarkar, George Nagy:
Style Consistent Classification of Isogenous Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 88-98 (2005) - [j47]Yuri A. Tijerino, David W. Embley, Deryle W. Lonsdale, Yihong Ding, George Nagy:
Towards Ontology Generation from Tables. World Wide Web 8(3): 261-285 (2005) - [c54]Naomi Nagy, Xiaoli Zhang, George Nagy, Edgar W. Schneider:
A Quantitative Categorization of Phonemic Dialect Features in Context. CONTEXT 2005: 326-338 - [c53]Sriharsha Veeramachaneni, Prateek Sarkar, George Nagy:
Modeling Context as Statistical Dependence. CONTEXT 2005: 515-528 - [c52]Daniel P. Lopresti, George Nagy:
Chipless ID for paper documents. DRR 2005: 208-215 - [c51]George Nagy:
Interactive, Mobile, Distributed Pattern Recognition. ICIAP 2005: 37-49 - 2004
- [c50]George Nagy, Prateek Sarkar:
Document Style Census for OCR. DIAL 2004: 134-149 - [c49]George Nagy, Ashutosh Joshi, Mukkai S. Krishnamoorthy, Yu Lin, Daniel P. Lopresti, Shashank K. Mehta, Sharad C. Seth:
A nonparametric classifier for unsegmented text. DRR 2004: 102-108 - [c48]George Nagy:
Visual Pattern Recognition in the Years Ahead. ICPR (4) 2004: 7-10 - [c47]Jie Zou, George Nagy:
Evaluation of Model-Based Interactive Flower Recognition. ICPR (2) 2004: 311-314 - [c46]Tong Zhang, George Nagy:
Surface Tortuosity and its Application to Analyzing Cracks in Concrete. ICPR (2) 2004: 851-854 - 2003
- [j46]Sriharsha Veeramachaneni, George Nagy:
Adaptive classifiers for multisource OCR. Int. J. Document Anal. Recognit. 6(3): 154-166 (2003) - [c45]George Nagy, Sharad C. Seth, Shashank K. Mehta, Yu Lin:
Indirect Symbolic Correlation Approach to Unsegmented Text Recognition. CVPR Workshops 2003: 22 - [c44]Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy:
Handwriting Recognition Using Position Sensitive Letter N-Gram Matching. ICDAR 2003: 577- - [c43]Sriharsha Veeramachaneni, George Nagy:
Towards a Ptolemaic Model for OCR. ICDAR 2003: 1060-1064 - [c42]Yuri A. Tijerino, David W. Embley, Deryle W. Lonsdale, George Nagy:
Ontology Generation from Tables. WISE 2003: 242-252 - 2002
- [j45]Khalid A. Al-Kofahi, Sharie Lasek, Donald H. Szarowski, Christopher J. Pace, George Nagy, James N. Turner, Badrinath Roysam:
Rapid automated three-dimensional tracing of neurons from confocal image stacks. IEEE Trans. Inf. Technol. Biomed. 6(2): 171-187 (2002) - [c41]Sriharsha Veeramachaneni, George Nagy:
Classifier Adaptation with Non-representative Training Data. Document Analysis Systems 2002: 123-133 - [c40]Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy:
Classifying isogenous fields. IWFHR 2002: 41-46 - [c39]Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy:
Style-Conscious Quadratic Field Classifier. ICPR (2) 2002: 72-75 - [c38]George Nagy, Jie Zou:
Interactive Visual Pattern Recognition. ICPR (2) 2002: 478-481 - [c37]Adnan El-Nasan, George Nagy:
On-Line Handwriting Recognition Based on Bigram Co-Occurrences. ICPR (3) 2002: 740- - 2001
- [c36]Daniel P. Lopresti, George Nagy:
Issues in Ground-Truthing Graphic Documents. GREC 2001: 46-66 - [c35]George Nagy:
Advanced Character Recognition 6610. ICDAR 2001: 2 - [c34]Jianying Hu, Ramanujan S. Kashi, Daniel P. Lopresti, Gordon T. Wilfong, George Nagy:
Why Table Ground-Truthing is Hard. ICDAR 2001: 129-133 - [c33]Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy:
Word Discrimination Based on Bigram Co-Occurrences. ICDAR 2001: 149-153 - [c32]Tin Kam Ho, George Nagy:
Exploration of Contextual Constraints for Character Pre-Classification. ICDAR 2001: 450-454 - [c31]Prateek Sarkar, George Nagy:
Style-Consistency in Isogenous Patterns. ICDAR 2001: 1169-1175 - [c30]George Nagy, Tong Zhang, W. Randolph Franklin, Eric Landis, Edwin Nagy, Denis T. Keane:
Volume and Surface Area Distributions of Cracks in Concrete. IWVF 2001: 759-768 - 2000
- [j44]Luyang Li, George Nagy, Ashok Samal, Sharad C. Seth, Yihong Xu:
Integrated text and line-art extraction from a topographic map. Int. J. Document Anal. Recognit. 2(4): 177-185 (2000) - [j43]George Nagy:
Twenty Years of Document Image Analysis in PAMI. IEEE Trans. Pattern Anal. Mach. Intell. 22(1): 38-62 (2000) - [c29]George Nagy, Thomas A. Nartker, Stephen V. Rice:
Optical character recognition: an illustrated guide to the frontier. Document Recognition and Retrieval 2000: 58-69 - [c28]Adnan El-Nasan, George Nagy:
Ink-Link. ICPR 2000: 2573-2576 - [c27]Prateek Sarkar, George Nagy:
Classification of Style-Constrained Pattern-Fields. ICPR 2000: 2855-2858 - [c26]Tin Kam Ho, George Nagy:
OCR with No Shape Training. ICPR 2000: 4027-4030
1990 – 1999
- 1999
- [j42]Yihong Xu, George Nagy:
Prototype Extraction and Adaptive OCR. IEEE Trans. Pattern Anal. Mach. Intell. 21(12): 1280-1296 (1999) - [c25]Daniel P. Lopresti, George Nagy:
A Tabular Survey of Automated Table Processing. GREC 1999: 93-120 - [c24]Prateek Sarkar, George Nagy:
Heeding More Than the Top Template. ICDAR 1999: 382-385 - [c23]Luyang Li, George Nagy, Ashok Samal, Sharad C. Seth, Yihong Xu:
Cooperative Text and Line-Art Extraction from a Topographic Map. ICDAR 1999: 467-470 - 1998
- [j41]Prateek Sarkar, George Nagy, Jiangying Zhou, Daniel P. Lopresti:
Spatial Sampling of Printed Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 344-351 (1998) - [c22]George Nagy:
Persistent issues in learning and estimation. ICPR 1998: 561-564 - 1997
- [j40]George Nagy, Yihong Xu:
Bayesian subsequence matching and segmentation. Pattern Recognit. Lett. 18(11-13): 1117-1124 (1997) - [c21]