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A novel method is proposed for efficient vehicle model identification. Considering logo recognition vital, the method begins with the development of an algorithm based on image gradients for initial or coarse positioning of vehicle logo, then proceeds to blur detection, pixelization and Sobel algorithm for fine positioning of logo, and determines process via a SVM classifier based on DCT low-frequency...
Much attention has been paid to WLAN indoor positioning algorithm for its high accuracy and low cost to meet the location based services (LBS). This paper proposes a novel positioning algorithm based on positioning characteristics extraction in WLAN indoor environment. Each RSS signal from an individual access point is taken as input of the RBF neural networks to establish the mapping between RSS...
In this paper, we apply particle swarm optimization (PSO) to solve feature subset selection problems. The proposed PSO algorithm is combined with nearest neighbor classifiers. The algorithm is applied to classify credit risk using benchmark data sets from UCI databases. The experimental results presented in the paper demonstrate that the application of our proposed method lets to achieve better results...
Linear feature can provide more information than point feature and can be extracted and described conveniently compared with the planar structure in the aerial images, a new straight line extraction method for steroimage feature matching is proposed, mainly for the man-made objects. The fusion and the filtering strategies are designed for the linear features extracted from the aerial images, and then...
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