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Showing 1 to 5 of 5 for “"Spatial embedding"”.

  1. Steklov geometry processing : an extrinsic approach to spectral shape analysis

    … Laplace-Beltrami operator, cannot capture the spatial embedding of a shape up to rigid motion, and many previous extrinsic methods lack theoretical justification. Instead, we consider the Steklov eigenvalue problem, computing the spectrum of the Dirichlet-to-Neumann operator of a surface …

    mit Repository record for Steklov geometry processing : an extrinsic approach to spectral shape analysis (opens in a new tab)

  2. Embedding of synchronous spike activity in cortical networks

    … background activity, with no feedback to and no spatial embedding in any kind of surrounding network. As a first result, this study introduces and characterizes diluted synfire chains without the statistically unrealistic original requirement of all-to-all inter chain connectivity. It is shown …

    freiburg-diss Repository record for Embedding of synchronous spike activity in cortical networks (opens in a new tab)

  3. Complex networks in the climate system

    … the additional constraints imposed by the spatial embedding of vertices in a climate network. Our methodology is of potential interest for a broad audience within the physics community and various applied fields, because it is universal in the sense of being valid for any spatially extended …

    potsdam-thes Repository record for Complex networks in the climate system (opens in a new tab)

  4. Time-to-Event Prediction Using Deep Learning Models: Application to GPU Failure Data

    … their training processes. Furthermore, it covers embedding layers and the use of the GPU dataset. Finally, it introduces multitask output for neural networks, which will be utilized in Chapter~ref{cha:NNspatialRE}. Chapter~ref{cha:DL} introduces a deep learning approach for predicting GPU failure …

    vt Repository record for Time-to-Event Prediction Using Deep Learning Models: Application to GPU Failure Data (opens in a new tab)

  5. Approaching Disaster Vulnerability in a Megacity: Community Resilience to Flooding in two Kampungs in Jakarta

    … In chapter two I will introduce the theoretical embedding of the analytical framework. This will be necessary, as disaster research in social science is a relatively young research stream. Terms such as disasters, catastrophes and hazards are often used synonymously. Moreover, different …

    passau-thes Repository record for Approaching Disaster Vulnerability in a Megacity: Community Resilience to Flooding in two Kampungs in Jakarta (opens in a new tab)