Sriharsha Veeramachaneni, Ph.D.
Affiliations: | 2002 | Rensselaer Polytechnic Institute, Troy, NY, United States |
Area:
Computer Science, Electronics and Electrical EngineeringGoogle:
"Sriharsha Veeramachaneni"Parents
Sign in to add mentorGeorge Nagy | grad student | 2002 | RPI | |
(Style-constrained quadratic field classifiers.) |
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Publications
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Olivetti E, Veeramachaneni S, Nowakowska E. (2012) Bayesian hypothesis testing for pattern discrimination in brain decoding Pattern Recognition. 45: 2075-2084 |
Dozier C, Kondadadi R, Light M, et al. (2010) Named entity recognition and resolution in legal text Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6036: 27-43 |
Nagy G, Veeramachaneni S. (2008) Adaptive and interactive approaches to document analysis Studies in Computational Intelligence. 90: 221-257 |
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 |
Veeramachaneni S, Nagy G. (2005) Style context with second-order statistics. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 14-22 |
Veeramachaneni S, Sarkar P, Nagy G. (2005) Modeling context as statistical dependence Contexts. 515-528 |
Veeramachaneni S, Sarkar P, Nagy G. (2005) Modeling context as statistical dependence Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3554: 515-528 |
Veeramachaneni S, Nagy G. (2003) Towards a ptolemaic model for OCR Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2003: 1060-1064 |
El-Nasan A, Veeramachaneni S, Nagy G. (2003) Handwriting recognition using position sensitive letter N-gram matching Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2003: 577-582 |
Veeramachaneni S, Nagy G. (2003) Adaptive classifiers for multisource OCR International Journal On Document Analysis and Recognition. 6: 154-166 |