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Semantic issues are highly concerned with high-level interpretation in image understanding, which include text-image gap and its own affinity. Concentrating on text-formatting with entities in images, three sophisticated methodologies are roundly reviewed as generative, discriminative and descriptive grammar on the basis of contextual features. The following objective benchmark for visual words is...
Similarity is one of the important characteristics of traffic flow time series, it reflects the same property of every two time series, and it is very significant to traffic flow prediction and traffic guidance. There are many prediction models based on similarity, but they neglect the direct impacts of historical data more or less. So, based on similarity and referring the idea of battery discharge...
Parameters-Optimized Multi-swarms Particle Swarm Optimization (POMS-PSO) is proposed in this paper. The POMS-PSO employs three subswarms totally, the C-swarm, r-subswarm and K-subswarm. The concept of parameter-optimization referred is realized by C-swarm to optimize the free parameters of the r- and K-subswarms using standard PSO. The problem-oriented optimization process is performed by r- and K-subswarm...
Velocity threshold vmax is an important parameter of Artificial physics optimization. Different from other parameters, it affects the algorithm performance by restricting the moving size and direction of each particle. Because of the complex optimisation problems, the proper vmax setting may provide a reasonable solution within an allowed generation. However, up to now, there are only few scholars...
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