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@S-E-D-A

SEDA: Simultaneous Environment Discovery And Annotation

  • Ann Arbor, MI

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  1. SEDA-ML-Summarization SEDA-ML-Summarization Public

    Here we explore and build an unsupervised deep belief network with the goal of becoming a commercially viable extractive text summarization tool.

    Python 8 7

  2. SEDA-AR-TextAnnotation SEDA-AR-TextAnnotation Public

    We leverage an open-source algorithm, PTAM, to generate markerless augmented reality graphics that appears to be part of the user's environment. The graphics aid the user in understanding his/her e…

    C++ 4 1

  3. SEDA-ML-Summarization-vagrant-config SEDA-ML-Summarization-vagrant-config Public

    The vagrant configuration for the SEDA-ML-Summarization component.

    Shell 1

  4. S-E-D-A.github.io S-E-D-A.github.io Public

    The project web page for SEDA: Simultaneous Environment Discovery & Annotation

    CSS

  5. SEDA-CV-TextDetection-vagrant-config SEDA-CV-TextDetection-vagrant-config Public

    Shell

  6. SEDA-CV-TextDetection SEDA-CV-TextDetection Public

    C++ 5

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