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The visual simulation system which the docking process of replenishment at sea is constructed based on MultiGen Creator and Vega Prime. In a bid to modeling and driving of the visual simulation, a large number of the real-time data should be transformed for simulation in which the entire process of replenishment at sea. According to the complicated power and movement state of the docking mechanism...
Real-world visual classification tasks typically need to deal with data observed from different domains. Inspired by canonical correlation analysis (CCA), we propose an enhanced CCA with local density for associating and recognizing cross-domain data. In addition to maximizing the correlation of the projected cross-domain data, our CCA model further exploits the local density information observed...
Understanding an unfamiliar program is always a daunting task for any programmer, either experienced or inexperienced. Many studies have shown that even an experienced programmer who is already familiar with the code may still need to rediscover the code frequently during maintenance activities. Compared to that tracing the source code of an unfamiliar program is a totally different process of comprehension...
Laneway is the important entity of mine, and it plays an important role in mine safety production. in this paper, firstly it studies the feasibility of the 3D visualization. through analyzing the characteristics and the related data of the laneway, it finally uses the method that along the center line to insert a series of profiles to achieve the modeling. This paper discusses the following aspects:...
Compressive sampling is a novel framework in signal acquisition and reconstruction, which achieves sub-Nyquist sampling by exploiting the sparse nature of most signals of interest. In this letter, we propose a saliency-based compressive sampling scheme for image signals. The key idea is to exploit the saliency information of images, and allocate more sensing resources to salient regions but fewer...
This paper proposes a saliency-based attention model based on pulsed cosine transform that simulates the lateral surround inhibition of neurons with similar visual features. The model can be extended to Hebbian-based neural networks. The visual saliency can be represented in binary codes, which agrees with the firing pulse of neurons in human brain. In addition, motion saliency can be directly generated...
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