Now showing items 1-16 of 16

      Subject
      watermarking [1]
      wavelets [2]
      Wavelets and fractals E.4 [Coding and Information Theory]: Data compaction and compression [1]
      waypoints‐constrained [1]
      we describe interface design guidelines for helping users understand progressively updating results and make early decisions based on progressive estimates. To illustrate our ideas [1]
      we investigate the tradeoffs of our tool when exploring a Twitter dataset in a user study. We report the usage patterns in making early decisions using the user interface [1]
      We present a novel traffic trajectory editing method which uses spatio [1]
      We present a novel traffic trajectory editing method which uses spatio-temporal keyframes to control vehicles during the simulation to generate desired traffic trajectories. By taking self-motivation, path following and collision avoidance into account, the proposed force-based traffic simulation framework updates vehicle's motions in both the Frenet coordinates and the Cartesian coordinates. With the way-points from users, lane-level navigation can be generated by reference path planning. With a given keyframe, the coarse-to-fine optimization is proposed to efficiently generate the plausible trajectory which can satisfy the spatio-temporal constraints. At first, a directed state-time graph constructed along the reference path is used to search for a coarse-grained trajectory by mapping the keyframe as the goal. Then, using the information extracted from the coarse trajectory as initialization, adjoint-based optimization is applied to generate a finer trajectory with smooth motions based on our force-based simulation. We validate our method with extensive experiments. [1]
      we present a prototype PVA tool called INSIGHTSFEED for exploring Twitter data at scale. As validation [1]
      wearable devices [1]
      Weather Forecast Analysis [1]
      Weather Visualization [1]
      Web [3]
      web‐based visualization [1]
      weird math [1]
      Worst [1]