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Convolutional Neural Network (CNN) has recently achieved significant performances for visual computing, and a number of researches are made to explore advanced model structures to solve the problem of over-fitting. In this paper, a regularization technique named ShuffleNode is proposed, which shuffles feature map elements to achieve regularization functions during model training. Specifically, there...
Image segmentation is a classic problem and basic research area in image processing. It can provide pre-detect information for subsequent image processing and classification. 2D Otsu method is a widely used non-parametric method to detect the threshold of image. In this paper, we employ the simplified swarm optimization (SSO) as a swarm-intelligent optimization method to search the threshold value...
ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified...
Performed the size effect of the unit in numerical simulation of blasting demoLition. Considered three elemental sizes, which were 10, 20 and 40 cm. Adopt 40 cm element, the structure was damaged more seriously. This resulted in the bigger error in predicting the demoLition scope. The collapsed time was shorter, and the structural rush distance was farther. When adopted 10 cm, a great number of elements...
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