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Silhouettes are frequently extracted and described to compose inputs for learning methods in solving human pose estimation problem. Although silhouettes extracted from background subtraction methods are usually noisy, the effect of noisy inputs to pose estimation accuracies is seldom studied. In this paper, we explore this problem. First, We compare performances of several image features widely used...
This paper presents a novel learning method for precise eye localization, a challenge to be solved in order to improve the performance of face processing algorithms. Few existing approaches can directly detect and localize eyes with arbitrary angels in predicted eye regions, face images, and original portraits at the same time. To preserve rotation invariant property throughout the entire eye localization...
There is no doubt that microblog is becoming one of the most forceful powers over the Internet, with billions of users all over the world. Making use of the well-connected microblog network, a highly influential user (or opinion leader) can be of great importance, with commercial, social, or even political values. In this paper, we discuss the conditions and methods to become an opinion leader based...
In this paper, first, the AFS fuzzy logic clustering algorithm has been studied further. Then, based on the fuzzy implicator, an algorithm of selecting optimal subsets of relevant features for fuzzy clustering is proposed. Thus a new AFS fuzzy logic clustering algorithm is achieved. Finally, the proposed clustering algorithm is applied to the well known real-world wine data set. Experimental results...
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