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Considering the facts that people access to item information more easily than to user information given user privacy, and the features of items selected by the user always imply his/her preferences, we hope to utilize item features to mine user preferences besides ratings. What is more, ratings are often linguistic labels and fuzzy set is tailor-made to represent them. Therefore, we propose a novel...
Parameters selection of support vector machine (SVM) is a key problem in the application of SVM, which has influence on generalization performance of SVM. The commonly used method, grid search (GS), is time-consuming especially for very large dataset. By using coarse grid search and pattern search (PS) to select kernel parameters and penalty factor, a fast method of parameters selection of SVM based...
Depth generation is the key technology in the 3DTV system. Due to the demands for accuracy and real-time execution, local methods are more suitable, but the challenge is to decide an appropriate window for each pixel. We propose a novel local method, which constructs the support windows adaptively only based on the intensity, and the process has no relation with disparities. This is the main difference...
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