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With the development of internet and information technology, educational informatization is increasingly focusing on the use of modern technology to provide powerful teaching assistance. Learning resources intelligent recommendation is essential in Smart Education. The paper proposes two aspects of recommendation strategy. First is the basic recommendation strategy, which includes teaching process,...
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main...
We study a general filtering problem with marked point process observations. The motivation comes from modeling financial ultra-high frequency data. First, we rigorously derive the unnormalized filtering equation with marked point process observations under mild assumptions, especially relaxing the bounded condition of stochastic intensity. Then, we derive the Poisson chaos expansion for the unnormalized...
In traditional e-commerce websites, social tags are used in product classification only, and not applied in the domain of personalized recommendation technology. In this paper, we propose a personalized recommendation model based on social tags. We build a user interest model for products by reflecting user interest and product features directly through social tags, and optimize the interest model...
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