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A significant surge has been observed with the development and research in remote sensing in recent years for hyperspectral applications in Earth observation. Subsequently, the development of software...
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
Data Structure Fusion     Data Structure       2016/5/24
We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are speci-fie...
We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterati...
Multiresolution image fusion is an emerging area of research for use in military and commercial applications. While many methods for image fusion have been developed, improvements can still be made. I...
This research examines end-user perceptions of an intelligence product disseminated from a state fusion center in the Northeast region of the United States. The current literature suffers from an empi...
Intelligence fusion centers have grown rapidly in the last few years as state, local, and tribal law enforcement agencies have attempted to find the best way to share information about threats to thei...
The increasing spatial data provide abundant material for data fusion, and the purpose of the paper is to apply data fusion into the production and updating of spatial data. After outlining the gene...
We describe a methodology for modeling the performance of decision-level data fusion between different sensor configurations, implemented as part of the JIEDDO Analytic Decision Engine (JADE). We firs...
A lot of attention has been devoted to multimedia indexing over the past few years. In the literature, we often consider two kinds of fusion schemes: Theearly fusionand thelate fusion. In this paper w...
Human activity analysis is an important and challenging task in video content analysis and understanding. In this paper, we focus on the activity of small human group, which involves countable persons...
With the rapid development of the World Wide Web, there are a huge number of fully or fragmentally duplicated pages in the Internet. Return of these near duplicated results to the users greatly affect...
In this paper, we propose a novel affective video classification method based on facial expression recognition by learning the spatio-temporal feature fusion of actors’ and viewers’ facial expressions...
This paper presents an integrated face image fusion framework, which combines a hierarchical compositionalparadigm with seamless image-editing techniques, for gender conversion. In our framework a hig...
We describe an approach to2D-to-3D video conversion for he stereoscopic display. Targeting the problem ofsynthesizing the frames of a virtual „right view‟ from the original monocular 2D v...

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