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Showing 1 to 4 of 4 for “"Action classification"”.

  1. Action Recognition with Knowledge Transfer

    … on deep neural networks has shown remarkable action recognition performance from videos. The remarkable performance is often achieved by transfer learning: training a model on a large-scale labeled dataset (source) and then fine-tuning the model on the small-scale labeled datasets (targets). …

    vt Repository record for Action Recognition with Knowledge Transfer (opens in a new tab)

  2. On the 3D point cloud for human-pose estimation

    … range of applications, such as human-robot interaction, healthcare, surveillance, and so forth. Yet, HPE is challenging because of the uncertainty in sensor measurements and the complexity of human poses. In this research, we focus on addressing challenges related to two crucial components in the …

    purdue-thes Repository record for On the 3D point cloud for human-pose estimation (opens in a new tab)

  3. Multi-Sensor Data Fusion

    … to them. Human can also anticipate the future action because our brain is able to decode all information received to understand the future occurrences and to make a decision. The overall design of machines that anticipate future actions is still an open issue in Computer Vision. To contribute …

    catania Repository record for Multi-Sensor Data Fusion (opens in a new tab)

  4. Protecting the power grid: strategies against distributed controller compromise

    … compromise using the remaining set. These actions can be taken immediately to reduce system stress and mitigate compromise consequences as the compromise itself is investigated and eliminated by appropriate security mechanisms. These strategies are demonstrated with several compromise …

    uiuc Repository record for Protecting the power grid: strategies against distributed controller compromise (opens in a new tab)