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这本书介绍了目标跟踪算法的发展,方法和系统。书中对各种最先进的的目标跟踪方法和新趋势进行了研究。全书有十四章，分为两个部分，第一部分提出了新的理论观点,而第二部分给出了实际场景中的应用。 Chapter 1 A Block Matching Technique for Object Tracking Based on Peripheral Increment Sign Correlation Image Chapter 2 Structural Information Approaches t
Multi-view learning arouses vast amount of interest in the past decades with numerous real-world applications in web page analysis, bioinformatics, image processing and so on. Unlike the most previous works following the idea of co-training, in this
Rough set theory is an effective supervised learning model for labeled data. However, it is often the case that practical problems involve both labeled and unlabeled data, which is outside the realm of traditional rough set theory. In this paper, the
We address the problem of metric learning for multi-view data. Up to date, though many metric learning algorithms have been successfully proposed, most of them focus just on single view circumstances, and only a few works deal with multi-view data. I
