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We may represent human actions as a bag of spatiotemporal visual words extracted from input video sequences. For human action categorization, labeled LDA (L-LDA) is an extension of latent Dirichlet allocation (LDA) by providing action class labels to each video. To handle parameter uncertainty in L-LDA, this paper further extends L-LDA within the type-2 fuzzy set (T2 FS) framework, referred to as...
In order to aid walking and limb rehabilitation training, a four-degree pelvic pose and position control mechanism of walking aid robot is discussed based on the motion laws of human pelvic. By applying modified D-H method, a kinematical coordinate system of the pose and position control mechanism is set up and the forward and inverse kinematics models are also built up. After the design of control...
Automatically tracking human body parts is a difficult problem because of background clutters, missing body parts, and the high degrees of freedoms and complex kinematics of the articulated human body. This paper presents the sequential Markov random fields (SMRFs) for tracking and labeling moving human body parts automatically by learning the spatio-temporal structures of human motions in the setting...
With the development of the society, it is necessary to apply artificial intelligence to personal knowledge management. This paper researches on it. At first, this paper introduces the meaning of personal knowledge management and the meaning of artificial intelligence. And then introduce the problems in personal knowledge management at present. There are three problems:(1) The problem of information...
The Chinese sentence similarity computation has been used widely in the field of Chinese information processing. Many methods have been proposed to measure the similarity of Chinese sentences, but they focus mainly on one or two features, e.g. words, structure or semantic information and so on. The accuracy of these methods is usually lower. In this paper, we present a new approach to compute the...
Sentence similarity computation has been used widely in the field of information processing. Many methods have been proposed to measure the similarity of sentences, but they focus mainly on one or two features, e.g. words, structure or semantic information and so on. The accuracy of these methods is usually lower. In this paper, we present a new approach to compute the similarity of sentences based...
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