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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Latent Space Exploration of Neural Networks for Annotation Efficient Subsurface Interpretation and Characterization
Committee:
Dr. AlRegib, Advisor
Dr. Anderson, Chair
Dr. Davenport
Abstract: The objective of the proposed research is to explore the use of deep autoencoders and learn data manifolds to rank and characterize unlabeled training examples by their outof-distribution-score. It is theorized that this ranking can be used to select and annotate only the most informative training samples for seismic interpretation tasks, greatly reducing the annotation effort for seismic interpreters.