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Showing 1 to 3 of 3 for “"Flow-encoding"”.

  1. Leveraging Information Theory and Ecological Network Analysis to Monitor Communication Networks in a Student Aerospace Team

    … an information-theoretic approach that leverages encoding techniques and graph theory to analyze communication networks within a university’s multi-year, student-led cubesat design project (Project COMET). By utilizing Shannon Entropy as a measure of information flow, encoding communication …

    embry-riddle Repository record for Leveraging Information Theory and Ecological Network Analysis to Monitor Communication Networks in a Student Aerospace Team (opens in a new tab)

  2. Optimization of Markov Random Fields in Computer Vision

    … First, we introduce a memory efficient max-flow algorithm for multi-label submodular MRFs. In fact, such MRFs have been shown to be optimally solvable using max-flow based on an encoding of the labels proposed by Ishikawa, in which each variable $X_i$ is represented by $\ell$ nodes (where …

    aus-cath Repository record for Optimization of Markov Random Fields in Computer Vision (opens in a new tab)

  3. Optimization of Markov Random Fields in Computer Vision

    … First, we introduce a memory efficient max-flow algorithm for multi-label submodular MRFs. In fact, such MRFs have been shown to be optimally solvable using max-flow based on an encoding of the labels proposed by Ishikawa, in which each variable $X_i$ is represented by $\ell$ nodes (where …

    anu Repository record for Optimization of Markov Random Fields in Computer Vision (opens in a new tab)