83 search results - page 3 / 17 » Discriminative Fields for Modeling Spatial Dependencies in N... |
TMM
2002
14 years 9 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
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CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
In this paper, we design a novel MRF framework which is called Non-Local Range Markov Random Field (NLRMRF). The local spatial range of clique in traditional MRF is extended to th...
NIPS
2007
14 years 11 months ago
2007
It has been shown that adapting a dictionary of basis functions to the statistics of natural images so as to maximize sparsity in the coefficients results in a set of dictionary ...
IGARSS
2009
14 years 7 months ago
2009
High resolution remote sensing (HR RS) images allow discriminating between different objects in a scene. Spatial reasoning techniques can be used to interpret and describe the sce...