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Remote sensing classification for volcanic ash cloud is a difficult task in the remote sensing application, and how to accurately obtain the volcanic ash cloud information from remote sensing image has become a key step in remote sensing classification of volcanic ash cloud. Aiming at the characteristics of the remote sensing images, via introducing the neighborhood pixels based on the classical fuzzy...
An approach for keyframe extraction using AdaBoost is proposed which is based on foreground detection. The aim of this approach is to extract keyframes from sequences of specific vehicle images of lane vehicle surveillance video. This method utilizes integral channel features and the area feature as the image feature descriptor, combined with training an AdaBoost classifier. The experimental results...
A new RNA secondary structure prediction algorithm that can predict pseudoknots is proposed, it combines the stem-loop combinatorial optimization algorithm and SVMs(Support Vector Machines, SVMs) method. The algorithm firstly finds out the optimal stem-loop structure and suboptimum structures based on dynamic neighbor topology particle swarm optimization algorithm, and then puts these loops into SVMs...
Matching a raw GPS trajectory to roads on a digital map is often referred to as the Map Matching problem. However, the occurrence of the low-sampling-rate trajectories (e.g. one point per 2 minutes) has brought lots of challenges to existing map matching algorithms. To address this problem, we propose an Interactive Voting-based Map Matching (IVMM) algorithm based on the following three insights:...
Automatic text categorization has been one of the hotspots in the information processing field. To aim at the important impact of feature weight calculating on text classification accuracy, first, the relationship between text representation model and feature weight calculating is studied, and the existed methods of feature weight calculating are analyzed, then the common idea of feature weighting...
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