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This study developed a load forecasting system for electric market participants. Combining the least-square support vector machine (LSSVM) and particle swarm optimisation (PSO), a LSSVM_PSO was proposed for the solving process. The loads, temperature, and relative humidity of the Taipower system were collected in the Excel Database. Data mining techniques is used to discover meaningful patterns, with...
Appearance model is a key component of tracking algorithms. Most existing approaches utilize the object information contained in the current and previous frames to construct the object appearance model and locate the object with the model in frame t + 1. This method may work well if the object appearance just fluctuates in short time intervals. Nevertheless, suboptimal locations will be generated...
In this paper, we tackle the tracking problem in a quite other viewpoint, ranking. First, the ranking SVM is employed to learn a ranking function. Then, the ranking function ranks every instance sampled from the next frame, and the instance with the most preferred ranking score is assumed to be the object. Experiments of extensively quantitative and qualitative comparisons on public videos show the...
Tone is an essential component for word formation in all tone languages. It plays a very important role in the transmission of information in speech communication. In this paper, we look at using support vector machines (SVMs) for automatic tone recognition in continuously spoken Mandarin. Wavelet transform and Teager Energy Operation (TEO) are used to detect the voiced segments. Considerable improvement...
This paper presents a novel approach in pedestrian detection in static images. The state-of-art feature named histograms of oriented gradients (HOG) is adopted as the basic feature which we modify and create a new feature using boosting algorithm. The detection is achieved by training a linear SVM with the boosted HOG feature. We experimentally demonstrate that our solution achieve comparable performance...
In this paper, we propose a novel contextual descriptor which combines the contextual information and local appearance. Based on Gibbs distribution, a local descriptor is designed. By assembling the contextual information and local descriptors, a new partial contextual descriptor (PCD) is finally presented. Combining pyramid match kernel (PMK) and SVM, we test our new descriptor and obtain higher...
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