With the fast development of Internet and rapid acceptance of Web Service technology, more and more service resources have emerged. Service composition which integrates the functionalities of different services is a p...
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LLE is a nonlinear dimensionality reduction method, which has been successfully applied to data visualization. Based on the assumption of local linearity, LLE can compute the weights between the KNN nodes using the lo...
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In the Web Service world, it is an important technique that taking the usable behaviors in the existed web services provides some value-added functions by the service composition. Therefore, the usability analysis of ...
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This paper is concerned with the optimal controller design of networked control systems (NCSs). Aiming at a class of NCSs, in which network-induced delay and data packet dropout exist simultaneously from sensor to con...
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ISBN:
(纸本)0769524575
This paper is concerned with the optimal controller design of networked control systems (NCSs). Aiming at a class of NCSs, in which network-induced delay and data packet dropout exist simultaneously from sensor to controller, this paper proposes a novel optimal controller based on a new adaptive genetic algorithm and simulated anneal algorithm (AGASA), guaranteed cost controller (GCC) and state feedback controller (SFC). The proposed controller is less conservative than GCC and SFC, and can be applied to both linear and nonlinear NCSs. Two examples are presented to illustrate the proposed controller.
In many cases, the topology of communcation systems can be abstracted and represented as graph. Graph theories and algorithms are useful in these situations. In this paper, we introduced an algorithm to enumerate all ...
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In this paper, we are motivated to augment the holistic histogram representation with implicit spatial constrains. To be more concrete, we aim atending a good match function for the problem of object/scene categorizat...
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ISBN:
(纸本)1595937331
In this paper, we are motivated to augment the holistic histogram representation with implicit spatial constrains. To be more concrete, we aim atending a good match function for the problem of object/scene categorization which considers the spatial constraints against heavy clutter and occlusion. Our solution is a partial match kernel under the histogram representation which varies simultaneously at both the feature and spatial resolutions, named as the Feature and Spatial Covariant (FESCO) kernel. Both the FESCO kernel and its late fusion alternative achieve better match accuracy than Spatial Pyramid Match[13] and Pyramid Match[11]. We also apply the keypoint features to video indexing. And on a large scale TRECVID data sets of over 300 hours videos, to our best knowledge, this approach achieves the state-of-the-art result for a single feature. Copyright 2007 ACM.
This paper presents a computersystem reliability allocation method that is based on the theory of statistic and Markovian chain,which can be used to allocate reliability to subsystem, to hybrid system and software mo...
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This paper presents a computersystem reliability allocation method that is based on the theory of statistic and Markovian chain,which can be used to allocate reliability to subsystem, to hybrid system and software modules. A relevant supporting tool built by us is introduced.
Automatic image annotation is an important but highly challenging problem in content-based image retrieval. This paper introduces a new procedure for providing images with semantic keywords. To bridge the semantic gap...
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Business process monitoring involves real-time supervision of a series of activities carried out by an organization to achieve specific objectives. Process event monitoring points (PEMP) are used to pinpoint specific ...
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