Convolution-based detection models (CDM) have achieved tremendous success in computer vision in last few years, such as deformable part-based models (DPM) and convolutional neural networks (CNN). The simplicity of the...
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作者：
Lin, HaiJincheng, WangDepartment of Automation
Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China
This paper considered a simultaneous H∞ stabilization problem for a family of linear norm bounded uncertain systems. By using the LMI approach and dynamic state feedback theory, the necessary and sufficient condition...
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In this paper, we discuss a class of distributed detection algorithms which can be viewed as implementations of Bayes' law in distributed settings. Some of the algorithms are proposed in the literature most recent...
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ISBN:
(纸本)9781467374439
In this paper, we discuss a class of distributed detection algorithms which can be viewed as implementations of Bayes' law in distributed settings. Some of the algorithms are proposed in the literature most recently, and others are first developed in this paper. The common feature of these algorithms is that they all combine(i) certain kinds of consensus protocols with(ii)Bayesian updates. They are different mainly in the aspect of the type of consensus protocol and the order of the two *** discussing their similarities and differences, we compare these distributed algorithms by numerical examples. We focus on the rate at which these algorithms detect the underlying true state of an object. We find that(a) The algorithms with consensus via geometric average is more efficient than that via arithmetic average;(b) The order of consensus aggregation and Bayesian update does not apparently influence the performance of the algorithms;(c) The existence of communication delay dramatically slows down the rate of convergence;(d) More communication between agents with different signal structures improves the rate of convergence.
Penetration Rate is an important parameter of hard rock tunnel boring machine (TBM) in tunneling project. The prediction accuracy of Penetration Rate has great effect on the successful accomplishment of tunneling proj...
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This paper proposes a novel distributed state estimation and detection algorithm in smart grids. By decomposing a whole power system into several overlapping interconnected areas, the centralized state estimation algo...
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In this paper, we mainly focus on the problem of quantized feedback stabilization for a discrete-time linear system with faults. The dynamic uniform quantizer is used here, and quantized measurements of the state are ...
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Log-polar transformation(LPT)is widely used in image registration due to its scale and rotation invariant *** LPT,rotation and scale transformation can be made into translation displacement in log-polar coordinates,an...
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Log-polar transformation(LPT)is widely used in image registration due to its scale and rotation invariant *** LPT,rotation and scale transformation can be made into translation displacement in log-polar coordinates,and phase correlation technique can be used to get the *** LPT based image registration,constant samples in digitalization processing produce less precise and effective ***,dynamic log-polar transformation(DLPT)is used in this *** is a method that generates several sample sets in axes to produce several results and only the effective results are used to get the final results by using statistical ***,DLPT can get more precise and effective transformation results than the conventional *** information(MI)is a similarity measure to align two images and has been used in image registration for a long *** optimal transform for image registration can be obtained by maximizing MI between the two *** registration based on MI is robust in noisy,occlusion and illumination changing *** this paper,we study image registration using MI and *** with digitalizing images and with real image datasets are performed,and the experimental results show that the combination of MI with DLPT is an effective and precise method for image registration.
The maximum clique problem is to find the maximum sized clique of pairwise adjacent vertices in a given graph, which is a NP-Complete problem. In this paper, an effective parallel hybrid genetic algorithm is proposed,...
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Graph coloring problem is a well-known NP-complete problem in graph theory. Because GCP often finds its applications to various engineering fields, it is very important to find a feasible solution quickly. In this pap...
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In order to resolve shadow interference and slow image processing speed in the visual navigation of unmanned vehicles on city roads, a new lane detection algorithm based on the Inverse Perspective Mapping(IPM) of vert...
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