作者：
Huan ChengXi LiJianhua JiangLin ZhangJian LiJie YangDepartment of control science and Engineering
Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China School of Materials Science and Engineering State Key Laboratory of Material Processing and Die and Mould Technology Huazhong University of Science and Technology Wuhan 430074 China School of Mechanical and Electronic Information China University of Geosciences Wuhan 430074 China
A new model-based human body tracking framework with learning-based theory is introduced in this *** propose a variable structure multiple model (VSMM) framework to address challenging problems such as uncertainty of ...
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A new model-based human body tracking framework with learning-based theory is introduced in this *** propose a variable structure multiple model (VSMM) framework to address challenging problems such as uncertainty of motion styles,imprecise detection of feature points,and ambiguity of joint *** human joint points are detected automatically and the undetected points are estimated with Kalman *** motion models are learned from motion capture data using a ridge regression *** model set that covers the total motion set is designed on the basis of topological and compatibility relationships,while the VSMM algorithm is used to estimate quaternion vectors of joint *** using real image sequences and simulation videos demonstrate the high efficiency of our proposed human tracking framework.
A novel method based on rough sets (RS) and the affinity propagation (AP) clustering algorithm is developed to optimize a radial basis function neural network (RBFNN). First, attribute reduction (AR) based on RS theor...
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A novel method based on rough sets (RS) and the affinity propagation (AP) clustering algorithm is developed to optimize a radial basis function neural network (RBFNN). First, attribute reduction (AR) based on RS theory, as a preprocessor of RBFNN, is presented to eliminate noise and redundant attributes of datasets while determining the number of neurons in the input layer of RBFNN. Second, an AP clustering algorithm is proposed to search for the centers and their widths without a priori knowledge about the number of clusters. These parameters are transferred to the RBF units of RBFNN as the centers and widths of the RBF function. Then the weights connecting the hidden layer and output layer are evaluated and adjusted using the least square method (LSM) according to the output of the RBF units and desired output. Experimental results show that the proposed method has a more powerful generalization capability than conventional methods for an RBFNN.
In this paper we first describe the technology of automatic annotation transformation, which is based on the annotation adaptation algorithm (Jiang et al., 2009). It can automatically transform a human-annotated corpu...
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This paper proposes a group of picture (GOP)-aware multipath source routing protocol (GMSR) for real-time moving picture experts group (MPEG) video delivery in mobile ad hoc networks (MANETs). First, as existing multi...
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Traditional classification algorithms often fail when the independent and identical distributed (i.i.d.) assumption does not hold, and the cross-domain learning emerges recently is to deal with this problem. Actually,...
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This paper presents a method for named entity recognition and disambiguation based on Wikipedia. First, we establish Wikipedia database using open source tools named JWPL. Second, we extract the definition term from t...
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A propositional family deontic logic is introduced, which is a combination of the propositional deontic logic, dynamic logic and ambient logic. A three-layered possible world semantics is given, where a possible world...
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ISBN:
(纸本)1601322178
A propositional family deontic logic is introduced, which is a combination of the propositional deontic logic, dynamic logic and ambient logic. A three-layered possible world semantics is given, where a possible world is a set of families which is used to define the semantics for action modality [a];a subpossible world is a family used to define the semantics for family modality [m], and a subsubpossible world is used to define the semantics for the deontic modality OB. An axiomatic system of the logic will be given, and the normal form theorem, the soundness theorem and completeness theorem of the axiomatic system will be proved.
With the powerful development of pedestrian detection technique based on sliding-window and machine-learning, detection-based tracking systems have become increasingly popular. Most of these systems rely on existing s...
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IBM Research and five leading universities are partnering to create computing systems that are expected to simulate and emulate the brain's abilities. Although this project has achieved some successes, it meets gr...
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