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Sriharsha Veeramachaneni, Ph.D. - Publications

Affiliations: 
2002 Rensselaer Polytechnic Institute, Troy, NY, United States 
Area:
Computer Science, Electronics and Electrical Engineering
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13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2012 Olivetti E, Veeramachaneni S, Nowakowska E. Bayesian hypothesis testing for pattern discrimination in brain decoding Pattern Recognition. 45: 2075-2084. DOI: 10.1016/J.Patcog.2011.04.025  0.312
2010 Dozier C, Kondadadi R, Light M, Vachher A, Veeramachaneni S, Wudali R. 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. DOI: 10.1007/978-3-642-12837-0_2  0.384
2008 Nagy G, Veeramachaneni S. Adaptive and interactive approaches to document analysis Studies in Computational Intelligence. 90: 221-257. DOI: 10.1007/978-3-540-76280-5_9  0.59
2007 Veeramachaneni S, Nagy G. Analytical results on style-constrained bayesian classification of pattern fields. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 1280-5. PMID 17496385 DOI: 10.1109/Tpami.2007.1030  0.547
2005 Veeramachaneni S, Nagy G. Style context with second-order statistics. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 14-22. PMID 15628265 DOI: 10.1109/Tpami.2005.19  0.591
2005 Veeramachaneni S, Sarkar P, Nagy G. Modeling context as statistical dependence Contexts. 515-528. DOI: 10.1007/11508373_39  0.632
2005 Veeramachaneni S, Sarkar P, Nagy G. 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.  0.319
2003 Veeramachaneni S, Nagy G. Towards a ptolemaic model for OCR Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2003: 1060-1064. DOI: 10.1109/ICDAR.2003.1227819  0.543
2003 El-Nasan A, Veeramachaneni S, Nagy G. Handwriting recognition using position sensitive letter N-gram matching Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2003: 577-582. DOI: 10.1109/ICDAR.2003.1227730  0.622
2003 Veeramachaneni S, Nagy G. Adaptive classifiers for multisource OCR International Journal On Document Analysis and Recognition. 6: 154-166. DOI: 10.1007/S10032-003-0108-X  0.537
2002 Veeramachaneni S, Fujisawa H, Liu CL, Nagy G. Classifying isogenous fields Proceedings - International Workshop On Frontiers in Handwriting Recognition, Iwfhr. 41-46. DOI: 10.1109/IWFHR.2002.1030882  0.526
2002 Veeramachaneni S, Nagy G. Classifier adaptation with non-representative training data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2423: 123-133.  0.308
2001 El-Nasan A, Veeramachaneni S, Nagy G. Word discrimination based on bigram co-occurrences Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2001: 149-153. DOI: 10.1109/ICDAR.2001.953773  0.625
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