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An improved image denoising method based on Curvelet transform is proposed in this article. Considering characteristic of Wavelet transform and traditional Curvelet transform, this method divides image up via window neighbourhood processing. It fuses two denoising images based Wavelet and Curvelet transform according to segmentation information and obtains(More)
Predicting student learning outcomes is one of the prominent themes in Learning Analytics research. These studies varied to a significant extent in terms of the techniques being used, the contexts in which they were situated, and the consequent effectiveness of the prediction. This paper presented the preliminary results of a systematic review of studies in(More)
In recent years, there has been renewed interest in developing methods for skeleton-based human action recognition. A skeleton sequence can be naturally represented as a high-order tensor time series. In this paper, we model and analyze tensor time series with Linear Dynamical System (LDS) which is the most common for encoding spatio-temporal time-series(More)
Human activity recognition has many valuable applications in computer vision. Unlike existing works, the challenging problem of the similarity degree of skeleton-based human postures is addressed. In this paper, the Relation Matrix of 3D Rigid Bodies (RMRB3D), which is a compact representation of postures, makes a powerful way to compute the similarity(More)
As multi-rope friction hoist works under the conditions of heavy-load, impact and frequent starting-braking, the structural vibration of shaft tower is induced, also the hoisting capacity of mine and production safety are seriously affected. Taking the multi-rope friction hoist and shaft tower of a specific mine as engineering background, by vibration(More)
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