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@S-E-D-A SEDA: Simultaneous Environment Discovery And Annotation

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    7 repositories

    • SEDA-CV-TextDetection-vagrant-config

      Public
      Shell
      •0•0•0•0•Updated Feb 26, 2016Feb 26, 2016

    • SEDA-CV-TextDetection

      Public
      C++
      •5•0•12•0•Updated Jan 7, 2015Jan 7, 2015

    • 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
      •
      Apache License 2.0
      •8•8•10•0•Updated Mar 19, 2014Mar 19, 2014

    • SEDA-ML-Summarization-vagrant-config

      Public
      The vagrant configuration for the SEDA-ML-Summarization component.
      Shell
      •
      Apache License 2.0
      •0•1•0•0•Updated Mar 10, 2014Mar 10, 2014

    • SEDA-AR-TextAnnotation-vagrant-config

      Public
      Shell
      •0•0•1•0•Updated Mar 10, 2014Mar 10, 2014

    • 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 environment.
      C++
      •
      Other
      •1•4•8•0•Updated Feb 26, 2014Feb 26, 2014

    • S-E-D-A.github.io

      Public
      The project web page for SEDA: Simultaneous Environment Discovery & Annotation
      CSS
      •0•0•0•0•Updated Jan 14, 2014Jan 14, 2014