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How to build an accurate and reliable appearance model to improve the performance is a crucial problem in object tracking. Since the multi-view learning can lead to more accurate and robust representation of the object, in this paper, we propose a novel tracking method via multi-view learning framework by using multiple support vector machines (SVM). The multi-view SVMs tracking method is constructed...
This paper describes the concept of intelligent building integration system. Taking ez IBS as the platform, it designs the overall structure of a large-scale intelligent building system integration, and also makes a detailed analysis of the key technology and innovative design ideas of architecture design and implementation of intelligent integrated system, so as to realize the sharing of information,...
It is well known that the variability model, which captures the commonality and variability of the software product families, is very important to the software product line. Current software product line variability modeling methods relies on the analysis ability of the domain analysts heavily. When the single system of product families is large, it will be difficult to establishing the variability...
This paper considers the low-level feature modeling problem in image spam classification, in which most of the prevalent content based spam filters are shown to be inefficient because their OCR procedure are vulnerable to text obscuring attacks from spammers. We first built up a basic feature set through a low-level feature extraction process, and then proposed a stepwise regression method to determine...
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