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Weakly-supervised semantic labeling of migrated seismic data.. Georgia Institute of Technology, Atlanta, GA, USA, (2019)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/61719).Characterization of migrated seismic volumes using texture attributes: a comparative study., , , , , , , and . CoRR, (2019)Content-adaptive non-parametric texture similarity measure., , and . MMSP, page 1-6. IEEE, (2016)A Machine Learning Benchmark for Facies Classification., , , and . CoRR, (2019)A curvelet-based distance measure for seismic images., and . ICIP, page 4200-4204. IEEE, (2015)A comparative study of texture attributes for characterizing subsurface structures in seismic volumes., , , , , , , , , and 1 other author(s). CoRR, (2018)Phase Congruency for image understanding with applications in computational seismic interpretation., , , and . ICASSP, page 1587-1591. IEEE, (2017)Weakly-supervised labeling of seismic volumes using reference exemplars., and . ICIP, page 4373-4377. IEEE, (2016)Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective., , , , , , , and . CoRR, (2018)