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In this paper, a novel algorithm for target recognition in Synthetic Aperture Radar (SAR) images is proposed, which is the global between maximum and local within minimum (GBMLWM) feature extraction algorithm. Our proposed algorithm not only considers the global structure of the data set, but also makes the best of the local geometry of the data set through dividing the data set into four domains...
This paper demonstrates that a single thermally-modulated semiconductor gas sensor can discriminate and measure concentrations between two different explosive gases (CH4 and H2) and their mixtures. This method uses a novel feature extraction method, which is based on the wavelet singular entropy (WSE). From the time-frequency domain and energy spectrum perspective, wavelet decomposition coefficients...
To gain more accurate and reliable cancer classification results through DNA microarray analysis, a novel ensemble classifier SPDF (Subspace Partial least square based Decision Forest) is developed. The original data are split into subspaces by column. For each subspace, partial least square (PLS) is applied to extract orthogonal latent variables (LVs). In conjunction with the Minimal Redundancy and...
Although many existing movie recommender systems have investigated recommendation based on information such as clicks and tags, much less efforts have been made to explore the multimedia content of movies, which has potential information for the elicitation of the user’s visual and musical preferences. In this paper, we explore the content from three media types (image, text, audio) and propose a...
For a driver fatigue warning system, one of the most important problems to solve is eye detection and recognition. The blink information was used to preliminary eye location. Modified Susan operator of eye inner corner extraction to accurate eye location. According to the characteristics of the external environment are less prone to interference from eye inner corner, small template of the eye inner...
It built a classifier, which could improve recognition rate of image feature. Based on statistical learning theory, it built a classifier on Support Vector Machine(SVM), and determined the parameter of SVM and Guass radial kernel function. In the experiment, classifier of SVM was trained by feature sample, then carried on classifying , recognition and detection. The result of simulation showed that...
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