George Nagy

Affiliations: 
Rensselaer Polytechnic Institute, Troy, NY, United States 
Area:
Electronics and Electrical Engineering, Computer Science, Statistics
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"George Nagy"

Children

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Prateek Sarkar grad student 2000 RPI
Asad A. Abu-Tarif grad student 2002 RPI
Sriharsha Veeramachaneni grad student 2002 RPI
Grant W. Deffenbaugh grad student 2003 RPI
Adnan El-Nasan grad student 2004 RPI
Jie Zou grad student 2004 RPI
Srinivas Andra grad student 2006 RPI
Ashutosh Joshi grad student 2006 RPI
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Publications

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Nagy G. (2015) Disruptive developments in document recognition Pattern Recognition Letters
Nagy G. (2014) Invariant representation for rectilinear rulings Journal of Electronic Imaging. 23
Nagy G. (2014) Notes on An Interdisciplinary Introduction to Image Processing Signal, Image and Video Processing. 8: 397-398
Nagy G. (2014) On parallel lines in noisy forms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8621: 173-182
Nagy G. (2013) Preprocessing document images by resampling is error prone and unnecessary Proceedings of Spie - the International Society For Optical Engineering. 8658
Nagy G. (2012) Estimation, learning, and adaptation: Systems that improve with use Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7626: 1-10
Nagy G. (2012) Learning the characteristics of critical cells from web tables Proceedings - International Conference On Pattern Recognition. 1554-1557
Nagy G. (2008) DRR is a teenager Proceedings of Spie - the International Society For Optical Engineering. 6815
Zou J, Ji Q, Nagy G. (2007) A comparative study of local matching approach for face recognition. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 16: 2617-28
Veeramachaneni S, Nagy G. (2007) Analytical results on style-constrained bayesian classification of pattern fields. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 1280-5
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