Oct 4, 2012 · In this paper, we propose a novel method for spatial context modeling toward boosting visual discriminating power.
Abstract—In this paper, we propose a novel method for spatial context modeling towards boosting the visual discriminating.
The main idea in this work to encode image local spatial contexts (especially high-order contexts) is based on the analog between the variable subset selection ...
Bibliographic details on High-Order Local Spatial Context Modeling by Spatialized Random Forest.
IEEE Transactions on Image Processing · Year : 2013 Volume : 22 · Issue 2 · High-Order Local Spatial Context Modeling by Spatialized Random Forest.
High-Order Local Spatial Context Modeling by Spatialized Random Forest. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/tip/NiYWKT13.
In this paper, we propose a novel method for spatial context modeling toward boosting visual discriminating power. We are particularly interested in how to ...
Kassim, Qi Tian, High-Order Local Spatial Context Modeling by Spatialized Random Forest, IEEE Transactions on Image Processing, vol. 22, no. 2, pp. 739-751 ...
This paper employs the RF model to conduct research on population spatialization with multi-source spatial information data.
Random forest is sensitive to spatial autocorrelation and spatial representation of the true population is required for the best fitting models.
Missing: Spatialized | Show results with:Spatialized