83 search results - page 3 / 17 » Discriminative Fields for Modeling Spatial Dependencies in N... |
TMM
2002
13 years 4 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...
CVPR
2005
IEEE
14 years 7 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
13 years 1 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
13 years 6 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
13 years 2 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...