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Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
Perceiving layout and knowing distances:The interaction,relative potency,and contextual use of different information about depth. In W. Epstein & S.
This work proposes a framework for increasing the degree of automation of low-resolution satellite images interpretation procedures.Basically, the method starts with an image segmentation which, accor...
In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A tw...
In this paper, we propose a novel approach to reason with spatial proximity. The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proxim...
With the requirements for high performance results in the today’s mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mo...
This paper proposes a contextual item-based collaborative filtering technology, which is based on the traditional item-based collaborative filtering technology. In the process of the recommendation, u...
Although the spatial-temporal local features and the bag of visual words model (BoW) have achieved a great success and a wide adoption in action classification, there still remain some problems. Fir...
Abstract: Harmonic theory provides a mathematical framework to describe the structure, behavior, evolution and emergence of harmonic systems. A harmonic system is context aware, contains elements that...
Traditional super resolution (SR) methods based on sparse representation have shown their excellent performance, however, the methods usually perform even worse when the input images and the training ...
The Xplorah Planning Support Systems has been under development since 2000 to provide the Puerto Rico Planning Board with an advanced capacity to forecast land-use changes as the result of various sce...
This article presents a method to assess the accuracy of vegetation maps for which contextual information has been included in the classification process. It is well known that land use classification...
Effective Use of Linguistic and Contextual Information for SMT。
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments about the class label...

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