Mark S. Schmalz - researchr alias

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Viewing Publication 1 - 21 from 21

2020

Multiobjective Optimization of SAR Reconstruction on Hybrid Multicore SystemsAdeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz. staeors, 13:4674-4688, 2020. [doi]

2018

Dynamic Data-Driven SAR Image Reconstruction Using Multiple GPUsAdeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz. staeors, 11(11):4326-4338, 2018. [doi]

Performance and Energy Evaluation of SAR Reconstruction on Intel Knights LandingAdeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz. green 2018: 1-8 [doi]

2017

Parallel Dynamic Data Driven Approaches for Synthetic Aperture RadarAdeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz. hipc 2017: 193-202 [doi]

2016

Dynamic data driven image reconstruction using multiple GPUsAdeesha Wijayasiri, Tania Banerjee, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz. isspit 2016: 241-246 [doi]

2014

A framework for rendering high resolution synthetic aperture radar images on heterogeneous architecturesWilliam Chapman, Sanjay Ranka, Sartaj Sahni, Mark S. Schmalz, Linda Moore, Bracy Elton. ISCC 2014: 1-6 [doi]

2013

Nonlinear classification of hyperspectral signatures in high noiseMark S. Schmalz, Eric T. Hayden, Gerhard X. Ritter. whispers 2013: 1-4 [doi]

Dynamic multistatic synthetic aperture radar (DMSAR) with image reconstruction algorithms and analysisGuna Seetharaman, Eric T. Hayden, Mark S. Schmalz, William Chapman, Sanjay Ranka, Sartaj K. Sahni. aipr 2013: 1-9 [doi]

2009

Autonomous single-pass endmember approximation using lattice auto-associative memoriesGerhard X. Ritter, Gonzalo Urcid, Mark S. Schmalz. ijon, 72(10-12):2101-2110, 2009. [doi]

2008

It/cs workshop: multimodal, multimedia courseware for teaching technical concepts in humanistic contextMark S. Schmalz, Lynn Conway. sigite 2008: 23-30 [doi]

2006

Learning In Lattice Neural Networks that Employ Dendritic ComputingGerhard X. Ritter, Mark S. Schmalz. fuzzIEEE 2006: 7-13 [doi]

Multi-modal, Multi-Fractal Boundary Encoding in Object-Based Image CompressionMark S. Schmalz. dcc 2006: 465 [doi]

2005

On the convergence of image compression and object recognitionMark S. Schmalz. ACMse 2005: 382-387 [doi]

Recent Advances in Object-Based Image CompressionMark S. Schmalz. dcc 2005: 478 [doi]

2004

A New Auto-associative Memory Based on Lattice AlgebraGerhard X. Ritter, Laurentiu Iancu, Mark S. Schmalz. ciarp 2004: 148-155 [doi]

2003

Scalable Knowledge Extraction from Legacy Sources with SEEKJoachim Hammer, William J. O Brien, Mark S. Schmalz. isi 2003: 346-349 [doi]

EITH - A Unifying Representation for Database Schema and Application Code in Enterprise Knowledge ExtractionMark S. Schmalz, Joachim Hammer, Mingxi Wu, Oguzhan Topsakal. er 2003: 461-475 [doi]

1999

COQUINA: Content-Queryable Image and Signal ArchivesWen-Chen Hu, Mark S. Schmalz, Gerhard X. Ritter. icmcs 1999: 1009-1010 [doi]

Image Retrieval Using the Longest Approximate Common SubsequencesWen-Chen Hu, Mark S. Schmalz, Gerhard X. Ritter. icmcs 1999: 730-734 [doi]

1998

Approximating the longest approximate common subsequence problemWen-Chen Hu, Gerhard X. Ritter, Mark S. Schmalz. ACMse 1998: 166-172 [doi]

1993

Spatial transformation architectures with applications: an introductionMark S. Schmalz. spieVIP 1993: 55-66 [doi]

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