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Gene selection prior to classification has been an important topic in bioinformatics, since last decade. Small sample size and high dimensionality in microarray data pose great challenges for performing efficient classification. In this paper we propose efficient hybrid method (GT-kernelPLS) with a combination of wrapper like technique coalitional game theory and kernel partial least square (kernelPLS)...
In this paper, we propose a new sequential quasi-Monte Carlo (SQMC) filtering algorithm for ballistic target tracking in the reentry phase. The central idea of the new algorithm is to apply number theoretic sampling method to SQMC. The point set of uniform distribution generated by cyclotomic field can construct more uniform scattered points in unit cube. Therefore, random samples generated by the...
Classification and extraction of geospatial features from high spatial resolution imageries approved is one of the most significant steps for spatial database acquisition and updating in GIS. This research is to explore the methodologies of recognizing shape and elevation characteristics of spatial features on the remote sensed images. We focus on the road network classification and extraction among...
In this paper, a relatively flexible filter called extended bilateral filter is proposed, by which some particular filters can be designed via selecting an appropriate pixel of interest (POI) and defining a kernel for the filter according to some specified requirements. Based on the filter, a fluorescein-angiogram-oriented filter, high-intensity preserving (HIP) filter is introduced to solve the problems...
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