A fast and adaptive method is proposed for completing missing parts caused by the removal of foreground or background elements from an image of natural scenery. Unlike most previous texture-synthesis based approaches ...
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Aiming at the problem that users often can not retrieve useful information or the retrieved information is inaccurate, in this paper, a semantic retrieval model based on ontologies and question-answer modes is put for...
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Computed tomography (CT) image has been widely used for liver disease diagnosis. computer-assisted image processing can help doctors improving their diagnosis. The liver segmentation from CT image is the most basic an...
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In many clustering applications, the data sets are high-dimensional, sparse and binary, resulting to the failure of traditional algorithms in handling these data. In this paper, we present a new clustering algorithm b...
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We study the problem with a set of independent jobs to be processed on some identical parallel machines. Jobs should be completed as close as possible to the common due window, but the window location is a decision va...
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At present the existing integrity strategies and models are mostly qualitative evaluating the integrity or taking integrity strategy toward the information, which result the assessment lacking of objectivity, dynamic ...
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Some new liberalized semi implicit finite-difference method is proposed in this paper to solve one dimensional Burgers equation. Numerical results obtained by the present methods have been compared with exact solution...
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Quality of the performance and parameters of electronic devices under high-low temperature environments is one of the most important aspects for evaluating its reliability. To the problem that the junction temperature...
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According to the application research in the information system and the rules of construction on domain ontology, this paper proposed the conception of adding the financial domain ontology to the existing public senti...
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This paper proposed a method of adaptive neuro fuzzy inference system based on the data field to solve the drawbacks of the general fuzzy neural network that can not optimize fuzzy rules and consume too much time in o...
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