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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]George Nagy, Ashok Samal, Sharad C. Seth, T. Fisher, E. Guthmann, K. Kalafala, Luyang Li, Prateek Sarkar, S. Sivasubramaniam, Yihong Xu:
A Prototype for Adaptive Association of Street Names with Streets on Maps. GREC 1997: 302-313 - [c20]George Nagy, Yihong Xu:
Automatic Prototype Extracion for Adaptive OCR. ICDAR 1997: 278-282 - [c19]George Nagy:
Conference Report: ICDAR' 07. ICDAR 1997: 1112-1112 - 1996
- [j39]Michela Bertolotto, Elisabetta Bruzzone, Leila De Floriani, George Nagy:
Generating assembly and machining sequences from the Face-to-Face Composition model. Comput. Aided Des. 28(2): 101-112 (1996) - [j38]Yanhong Li, Daniel P. Lopresti, George Nagy, Andrew Tomkins:
Validation of Image Defect Models for Optical Character Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 18(2): 99-108 (1996) - [j37]Dz-Mou Jung, Mukkai S. Krishnamoorthy, George Nagy, Andrew Shapira:
N-Tuple Features for OCR Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 18(7): 734-745 (1996) - [c18]George Nagy, Yihong Xu:
Priming the recognizer. DAS 1996: 83-101 - 1995
- [j36]Junichi Kanai, Stephen V. Rice, Thomas A. Nartker, George Nagy:
Automated Evaluation of OCR Zoning. IEEE Trans. Pattern Anal. Mach. Intell. 17(1): 86-90 (1995) - [c17]Daniel P. Lopresti, Jiangying Zhou, George Nagy, Prateek Sarkar:
Spatial sampling effects in optical character recognition. ICDAR 1995: 309-314 - [c16]Dz-Mou Jung, George Nagy:
Joint feature and classifier design for OCR. ICDAR 1995: 1115-1118 - [c15]George Nagy:
Document Image Analysis: What is Missing? ICIAP 1995: 577-587 - 1994
- [j35]George Nagy:
Terrain visibility. Comput. Graph. 18(6): 763-773 (1994) - [c14]Henry S. Baird, George Nagy:
Self-correcting 100-font classifier. Document Recognition 1994: 106-115 - 1993
- [j34]Mukkai S. Krishnamoorthy, George Nagy, Sharad C. Seth, Mahesh Viswanathan:
Syntactic Segmentation and Labeling of Digitized Pages from Technical Journals. IEEE Trans. Pattern Anal. Mach. Intell. 15(7): 737-747 (1993) - [c13]Michael Sabourin, Amar Mitiche, Danny S. Thomas, George Nagy:
Classifier combination for hand-printed digit recognition. ICDAR 1993: 163-166 - [c12]Junichi Kanai, Thomas A. Nartker, Stephen V. Rice, George Nagy:
Performance metrics for document understanding systems. ICDAR 1993: 424-427 - [c11]Maharaj Mukherjee, George Nagy:
Collinearity Constraints on Geometric Figures. Modeling in Computer Graphics 1993: 115-125 - 1992
- [j33]George Nagy, Sharad C. Seth, Mahesh Viswanathan:
A Prototype Document Image Analysis System for Technical Journals. Computer 25(7): 10-22 (1992) - [j32]George Nagy:
At the frontiers of OCR. Proc. IEEE 80(7): 1093-1100 (1992) - [j31]Leila De Floriani, Philippe Jeanne, George Nagy:
Visibility-related image features. Pattern Recognit. Lett. 13(6): 463-470 (1992) - [c10]George Nagy:
Teaching a computer to read. ICPR (2) 1992: 225-229 - 1991
- [j30]Leila De Floriani, Bianca Falcidieno, George Nagy, Caterina Pienovi:
On Sorting Triangles in a Delaunay Tessellation. Algorithmica 6(4): 522-532 (1991) - [j29]Shashank K. Mehta, Maharaj Mukherjee, George Nagy:
Constrained Integer Approximation to Planar Line Intersection. Inf. Process. Lett. 40(3): 137-139 (1991) - [j28]George Nagy:
Neural networks-then and now. IEEE Trans. Neural Networks 2(2): 316-318 (1991)
1980 – 1989
- 1989
- [c9]David W. Embley, George Nagy:
On the Integration of Lexical and Spatial Data in a Unified High-Level Model. DASFAA 1989: 329-336 - [c8]Leila De Floriani, George Nagy:
A graph model for face-to-face assembly. ICRA 1989: 75-78 - 1988
- [c7]George Nagy, Junichi Kanai, Mukkai S. Krishnamoorthy, Mathews Thomas, Mahesh Viswanathan:
Two complementary techniques for digitized document analysis. DOCPROCS 1988: 169-176 - [c6]Leila De Floriani, George Nagy:
An alternative goal-oriented hierarchical representation of solid objects for computer integrated manufacturing. ICRA 1988: 1101-1106 - 1987
- [j27]George Nagy, Sharad C. Seth, Kent L. Einspahr:
Decoding Substitution Ciphers by Means of Word Matching with Application to OCR. IEEE Trans. Pattern Anal. Mach. Intell. 9(5): 710-715 (1987) - 1985
- [j26]George Nagy:
Image database. Image Vis. Comput. 3(3): 111-117 (1985) - 1984
- [j25]Leila De Floriani, Bianca Falcidieno, George Nagy, Caterina Pienovi:
A hierarchical structure for surface approximation. Comput. Graph. 8(2): 183-193 (1984) - [j24]Richard G. Casey, George Nagy:
Decision tree design using a probabilistic model. IEEE Trans. Inf. Theory 30(1): 93-99 (1984) - 1983
- [j23]George Nagy:
Optical Scanning Digitizers. Computer 16(5): 13-24 (1983) - [j22]George Nagy:
Candide's Practical Principles of Experimental Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 5(2): 199-205 (1983) - 1982
- [c5]David W. Embley, George Nagy:
Can we expect to improve text editing performance? CHI 1982: 152-156 - [p1]George Nagy:
29 Optical character recognition - Theory and practice. Classification, Pattern Recognition and Reduction of Dimensionality 1982: 621-649 - 1981
- [j21]Albert L. Zobrist, George Nagy:
Pictorial Information Processing of Landsat Data for Geographic Analysis. Computer 14(11): 34-41 (1981) - [j20]David W. Embley, George Nagy:
Behavioral Aspects of Text Editors. ACM Comput. Surv. 13(1): 33-70 (1981) - [j19]David W. Embley, George Nagy:
Surveyor's Forum: Interpreting Experimental Data. ACM Comput. Surv. 13(4): 494 (1981) - [j18]David W. Embley, George Nagy:
Simple: a programming environment for beginners. ACM SIGCSE Bull. 13(4): 7-12 (1981) - 1980
- [j17]P. Anandan, David W. Embley, George Nagy:
An Application of File-Comparison Algorithms to the Study of Program Editors. Int. J. Man Mach. Stud. 13(2): 201-211 (1980)
1970 – 1979
- 1979
- [j16]George Nagy, Sharad Wagle:
Approximation of Polygonal Maps by Cellular Maps. Commun. ACM 22(9): 518-525 (1979) - [j15]George Nagy, Sharad Wagle:
Geographic Data Processing. ACM Comput. Surv. 11(2): 139-181 (1979) - [c4]Cecilia Daly, David W. Embley, George Nagy:
A progress report on teaching programming to business students without lectures. SIGCSE 1979: 247-250 - 1978
- [j14]George Nagy, L. Wilson:
Program portability from the perspective of students at the University of Nebraska. ACM SIGCSE Bull. 10(2): 59-62 (1978) - [c3]Robert Holland, David L. Fulton, Edward L. Lamie, George Nagy, John Tartar, Jay Wienkam:
Hardware laboratories: what they should contain and how to obtain funding. SIGCSE/CSA 1978: 178 - [c2]George Nagy:
Session details: Introductory courses II. SIGCSE/CSA 1978 - 1977
- [j13]Gregory Haralambopoulos, George Nagy:
Profile of a University Computer User Community. Int. J. Man Mach. Stud. 9(3): 287-313 (1977) - 1976
- [c1]Gregory Haralambopoulos, George Nagy:
Data Collection and Analysis of the Distribution of Computing Resources at the University of Nebraska - Lincoln. Int. CMG Conference 1976: 144-154 - 1975
- [j12]Edward A. Parrish, George Nagy, Y. T. Chien, Allen Klinger:
New Directions in Machine-Pattern Analysis. Computer 8(7): 74-76 (1975) - 1974
- [j11]George Nagy, M. Carlson Pennebaker:
A Step Toward Automatic Analysis of Student Programming Errors in a Batch Environment. Int. J. Man Mach. Stud. 6(5): 563-568 (1974) - [j10]Robert N. Ascher, George Nagy:
A Means for Achieving a High Degree of Compaction on Scan-Digitized Printed Text. IEEE Trans. Computers 23(11): 1174-1179 (1974) - 1971
- [j9]Robert N. Ascher, George M. Koppelman, Martha J. Miller, George Nagy, Glenmore L. Shelton Jr.:
An Interactive System for Reading Unformatted Printed Text. IEEE Trans. Computers 20(12): 1527-1543 (1971) - 1970
- [j8]George Nagy:
Normalization techniques for handprinted numerals. Commun. ACM 13(8): 475-481 (1970)
1960 – 1969
- 1969
- [j7]George Nagy:
Feature Extraction on Binary Patterns. IEEE Trans. Syst. Sci. Cybern. 5(4): 273-278 (1969) - 1968
- [j6]George Nagy:
Preliminary investigation of techniques for automated reading of unformatted text. Commun. ACM 11(7): 480-487 (1968) - [j5]Richard G. Casey, George Nagy:
An Autonomous Reading Machine. IEEE Trans. Computers 17(5): 492-503 (1968) - [j4]Raimo Bakis, Noel M. Herbst, George Nagy:
An Experimental Study of Machine Recognition of Hand-Printed Numerals. IEEE Trans. Syst. Sci. Cybern. 4(2): 119-132 (1968) - 1966
- [j3]Richard G. Casey, George Nagy:
Recognition of Printed Chinese Characters. IEEE Trans. Electron. Comput. 15(1): 91-101 (1966) - [j2]George Nagy, Glen L. Shelton Jr.:
Self-corrective character recognition system. IEEE Trans. Inf. Theory 12(2): 215-222 (1966) - 1963
- [j1]George Nagy:
A Survey of Analog Memory Devices. IEEE Trans. Electron. Comput. 12(4): 388-393 (1963)
Coauthor Index
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