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ORCIDMark S. Schmalz
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2020 – today
- 2020
[j4]Adeesha Wijayasiri
, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz:
Multiobjective Optimization of SAR Reconstruction on Hybrid Multicore Systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4674-4688 (2020)
2010 – 2019
- 2018
- [j3]Adeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz:
Dynamic Data-Driven SAR Image Reconstruction Using Multiple GPUs. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4326-4338 (2018) - [c23]Adeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz:
Performance and Energy Evaluation of SAR Reconstruction on Intel Knights Landing. IGSC 2018: 1-8 - 2017
- [c22]Adeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz:
Parallel Dynamic Data Driven Approaches for Synthetic Aperture Radar. HiPC 2017: 193-202 - 2016
- [c21]Adeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz:
Dynamic data driven image reconstruction using multiple GPUs. ISSPIT 2016: 241-246 - 2014
- [c20]William Chapman, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz, Linda Moore, Bracy Elton:
A framework for rendering high resolution synthetic aperture radar images on heterogeneous architectures. ISCC 2014: 1-6 - 2013
- [c19]Guna Seetharaman, Eric T. Hayden, Mark S. Schmalz, William Chapman, Sanjay Ranka, Sartaj K. Sahni:
Dynamic multistatic synthetic aperture radar (DMSAR) with image reconstruction algorithms and analysis. AIPR 2013: 1-9 - [c18]Mark S. Schmalz, Eric T. Hayden, Gerhard X. Ritter:
Nonlinear classification of hyperspectral signatures in high noise. WHISPERS 2013: 1-4 - 2012
- [c17]Eric T. Hayden, Mark S. Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekara Seetharaman:
Techniques for mapping synthetic aperture radar processing algorithms to multi-GPU clusters. ISSPIT 2012: 13-18 - 2011
- [c16]William Chapman, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz, Uttam K. Majumder, Linda Moore, Bracy Elton:
Parallel processing techniques for the processing of synthetic aperture radar data on GPUs. ISSPIT 2011: 573-580 - [c15]Yi Xu, Sumi Helal, My T. Thai, Mark S. Schmalz:
Optimizing push/pull envelopes for energy-efficient cloud-sensor systems. MSWiM 2011: 17-26 - 2010
- [c14]William Chapman, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz, Uttam K. Majumder:
Parallel processing techniques for the processing of synthetic aperture radar data on FPGAs. ISSPIT 2010: 17-22
2000 – 2009
- 2009
- [j2]Gerhard X. Ritter, Gonzalo Urcid, Mark S. Schmalz:
Autonomous single-pass endmember approximation using lattice auto-associative memories. Neurocomputing 72(10-12): 2101-2110 (2009) - [j1]Mohammad Al-Turkistany, Abdelsalam Helal, Mark S. Schmalz:
Adaptive wireless thin-client model for mobile computing. Wirel. Commun. Mob. Comput. 9(1): 47-59 (2009) - [c13]Yan Li, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz:
Network Centered Multiple Resource Scheduling in e-Science Applications. GridNets 2009: 37-44 - 2008
- [c12]Mark S. Schmalz, Lynn Conway:
It/cs workshop: multimodal, multimedia courseware for teaching technical concepts in humanistic context. SIGITE Conference 2008: 23-30 - 2006
- [c11]Mark S. Schmalz:
Multi-modal, Multi-Fractal Boundary Encoding in Object-Based Image Compression. DCC 2006: 465 - [c10]Gerhard X. Ritter, Mark S. Schmalz:
Learning In Lattice Neural Networks that Employ Dendritic Computing. FUZZ-IEEE 2006: 7-13 - 2005
- [c9]Mark S. Schmalz:
On the convergence of image compression and object recognition. ACM Southeast Regional Conference (2) 2005: 382-387 - [c8]Mark S. Schmalz:
Recent Advances in Object-Based Image Compression. DCC 2005: 478 - 2004
- [c7]Gerhard X. Ritter, Laurentiu Iancu, Mark S. Schmalz:
A New Auto-associative Memory Based on Lattice Algebra. CIARP 2004: 148-155 - 2003
- [c6]Mark S. Schmalz, Joachim Hammer, Mingxi Wu, Oguzhan Topsakal:
EITH - A Unifying Representation for Database Schema and Application Code in Enterprise Knowledge Extraction. ER 2003: 461-475 - [c5]Joachim Hammer, William J. O'Brien, Mark S. Schmalz:
Scalable Knowledge Extraction from Legacy Sources with SEEK. ISI 2003: 346-349
1990 – 1999
- 1999
- [c4]Wen-Chen Hu, Mark S. Schmalz, Gerhard X. Ritter:
Image Retrieval Using the Longest Approximate Common Subsequences. ICMCS, Vol. 2 1999: 730-734 - [c3]Wen-Chen Hu, Mark S. Schmalz, Gerhard X. Ritter:
COQUINA: Content-Queryable Image and Signal Archives. ICMCS, Vol. 2 1999: 1009-1010 - 1998
- [c2]Wen-Chen Hu, Gerhard X. Ritter, Mark S. Schmalz:
Approximating the longest approximate common subsequence problem. ACM Southeast Regional Conference 1998: 166-172 - 1993
- [c1]Mark S. Schmalz:
Spatial transformation architectures with applications: an introduction. Visual Information Processing 1993: 55-66
Coauthor Index
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