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—Clustering is one of the most popular methods for exploratory data analysis, which is prevalent in many disciplines such as image segmentation, bioinformatics, pattern recognition and statistics etc. The most famous clustering algorithm is K-means because of its easy implementation, simplicity, efficiency and empirical success. However, the real-world(More)
User interest modeling is the core of personalized services. It is applied in the fields of information retrieval, data mining, e-commerce and personalized recommendation to improve the quality of information services. Most of traditional user interest models are built on VSM using keywords as the user interest. However, these models not only ignore the(More)
—We present a two-stage method to accurately segment single or multiple moving objects and their shadows, especially when the moving objects have similar chromaticity and intensity to their shadows or when they are immersed in the shadows of other moving objects. Our algorithm first detects potential shadows via brightness ratios at each motion region,(More)