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The AdaBoost algorithm is a popular ensemble method that combines several weak learners to boost generalization performance. However, conventional AdaBoost.RT algorithms suffer from the limitation that the threshold value must be manually specified rather than chosen through a self-adaptive mechanism, which cannot guarantee a result in an optimal model for general cases. In this paper, we present...
Object tracking is one of the most important topics in computer vision. While the state-of-the-art tracking algorithms achieved great success, there are still some challenging problems to be solved. Firstly, it remains a tough task to develop a tracking algorithm with both accuracy and efficiency. Secondly, the ground truth is often given by a rectangular bounding box, which contains not only the...
This paper presents a new rule induction algorithm based on the extension matrix theory, and uses it to learn prosodic phrasing rules automatically for Chinese text-to-speech. Firstly, the basic idea of our algorithm is introduced. Secondly, we collected 937 sentences from news programs and built a corpus for modeling Chinese prosody, a group of feature variables are also proposed. Lastly, the data...
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