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Spatial Prediction Fundamentals
2020The analysis of spatial data involves different procedures that typically include model estimation, spatial prediction, and simulation. Model estimation or model inference refers to determining a suitable spatial model and the “best” values for the parameters of the model. Parameter estimation is not necessary for certain simple deterministic models (e.
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Sparse shift-DCT spatial prediction
2010 IEEE International Conference on Image Processing, 2010In this paper, we propose a new intra prediction scheme based on hard thresholding applied on shift-DCT coefficients. The explored intra prediction method, validated in an H.264/AVC framework, aims at better predicting complex 2D patterns that cannot be properly extrapolated using H.264/AVC directional intra prediction modes.
Dominique Thoreau +4 more
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Prediction of the Slop in General Spatial Linkages
The International Journal of Robotics Research, 1999This paper reviews techniques for assessing how joint clearances affect the precision of multiloop, multifreedom linkages. Slop, or backlash, arises from the small movements as joint clearances are taken up and, as these movements are generally uncontrolled, the precise location of bodies in the linkage becomes uncertain.
Craig R. Tischler, Andrew E. Samuel
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Surface Prediction for Spatial Augmented Reality
2018Image projection in spatial augmented reality requires tracking of non-rigid surfaces to be effective. When a surface is moving quickly, simply using the measured deformation of the surface may not be adequate as projectors often suffer from lag and timing delays.
Adam Gomes +2 more
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Spatial prediction, spatial sampling, and measurement error
2018This dissertation, comprising two distinct papers, investigates the prediction and sampling of spatial processes, where the data are contaminated with measurement error;In the first paper, we show that a geostatistical model can provide a powerful way of predicting unknown parts of some spatial phenomenon.
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Spatial Prediction of Landslides
1993A great diversity of methodologies relative to landslide prediction have been developed in recent years and especially, hazard and risk mapping have now become usual techniques. According to Hartlen and Viberg (1988) the complete landslide hazard evaluation should provide answers at least to the following questions: where will the landslides occur ...
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A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction
IEEE Transactions on Wireless Communications, 2023Bo Gu, Shimin Gong, Zhou
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Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction
Engineering Applications of Artificial Intelligence, 2023Yin-Xin Bao +2 more
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Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network
IEEE Transactions on Intelligent Transportation Systems, 2022Hanqiu Wang, Rongqing Zhang, Xiang Cheng
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