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Dynamic multistatic synthetic aperture radar (DMSAR) with image reconstruction algorithms and analysis.

G. Seetharaman, E. Hayden, M. Schmalz, W. Chapman, S. Ranka, и S. Sahni. AIPR, стр. 1-9. IEEE Computer Society, (2013)

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Rob Chapman

Jeffrey Chapman

Henry Chapman

Elke Chapman

David Chapman

Другие публикации лиц с тем же именем

Leonardo and Lord of the Rings: ray tracing in the age of renaissance.W. Chapman. SIGGRAPH Educators Program, стр. 28. ACM, (2004)Parallel processing techniques for the processing of synthetic aperture radar data on GPUs.W. Chapman, S. Ranka, S. Sahni, M. Schmalz, U. Majumder, L. Moore, и B. Elton. ISSPIT, стр. 573-580. IEEE Computer Society, (2011)A framework for rendering high resolution synthetic aperture radar images on heterogeneous architectures.W. Chapman, S. Ranka, S. Sahni, M. Schmalz, L. Moore, и B. Elton. ISCC, стр. 1-6. IEEE Computer Society, (2014)Dynamic multistatic synthetic aperture radar (DMSAR) with image reconstruction algorithms and analysis.G. Seetharaman, E. Hayden, M. Schmalz, W. Chapman, S. Ranka, и S. Sahni. AIPR, стр. 1-9. IEEE Computer Society, (2013)Techniques for mapping synthetic aperture radar processing algorithms to multi-GPU clusters.E. Hayden, M. Schmalz, W. Chapman, S. Ranka, S. Sahni, и G. Seetharaman. ISSPIT, стр. 13-18. IEEE Computer Society, (2012)Direct and Indirect Effects - An Information Theoretic Perspective.G. Schamberg, W. Chapman, S. Xie, и T. Coleman. CoRR, (2019)Parallel processing techniques for the processing of synthetic aperture radar data on FPGAs.W. Chapman, S. Ranka, S. Sahni, M. Schmalz, и U. Majumder. ISSPIT, стр. 17-22. IEEE Computer Society, (2010)Adaptive directional region growing segmentation of the hepatic vasculature.Q. Shang, L. Clements, R. Galloway, W. Chapman, и B. Dawant. Medical Imaging: Image Processing, том 6914 из SPIE Proceedings, стр. 69141F. SPIE, (2008)Multi-view Community Detection in Facebook Public Pages.Z. Xin, C. Lai, J. Chapman, G. Barnett, и S. Wu. ICS, том 1013 из Communications in Computer and Information Science, стр. 131-138. Springer, (2018)Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsJ. Schreck, D. au2, C. Becker, W. Chapman, K. Elmore, D. Fan, G. Gantos, E. Kim, D. Kimpara, T. Martin и 6 other автор(ы). (2024)

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