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Raymond Ptucha, Ph.D.

Affiliations: 
2013 Computing and Information Sciences Rochester Institute of Technology, Rochester, NY, United States 
Area:
Computer Science, Computer Engineering, General Engineering
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"Raymond Ptucha"
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Andreas Savakis grad student 2013 Rochester Institute of Technology
 (Joint Optimization of Manifold Learning and Sparse Representations for Face and Gesture Analysis.)

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Publications

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Sah S, Nguyen T, Ptucha R. (2020) Understanding temporal structure for video captioning Pattern Analysis and Applications. 23: 147-159
Hssayeni M, Saxena S, Ptucha R, et al. (2017) Distracted Driver Detection: Deep Learning vs Handcrafted Features Electronic Imaging. 2017: 20-26
Sah S, Shringi A, Ptucha R, et al. (2017) Video redaction: a survey and comparison of enabling technologies Journal of Electronic Imaging. 26: 051406
Such FP, Sah S, Dominguez MA, et al. (2017) Robust Spatial Filtering With Graph Convolutional Neural Networks Ieee Journal of Selected Topics in Signal Processing. 11: 884-896
Rajanna AR, Ptucha R, Sinha S, et al. (2016) Prostate cancer detection using photoacoustic imaging and deep learning Electronic Imaging. 2016: 1-6
Rajanna AR, Aryafar K, Shokoufandeh A, et al. (2016) Deep neural networks: A case study for music genre classification Proceedings - 2015 Ieee 14th International Conference On Machine Learning and Applications, Icmla 2015. 655-660
Wong A, Yousefhussien M, Ptucha R. (2015) Localization using omnivision-based manifold particle filters Proceedings of Spie - the International Society For Optical Engineering. 9406
Ptucha R, Savakis AE. (2014) LGE-KSVD: robust sparse representation classification. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 23: 1737-50
Merkel C, Kudithipudi D, Ptucha R. (2014) Heterogeneous CMOS/memristor hardware neural networks for real-time target classification Proceedings of Spie - the International Society For Optical Engineering. 9119
Ptucha R, Kloosterman D, Mittelstaedt B, et al. (2014) Automatic image assessment from facial attributes Proceedings of Spie - the International Society For Optical Engineering. 9020
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