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André Klein and Guy Mélard
In this paper, an algorithm for Mathematica is proposed for the computation of the asymptotic Fisher information matrix for a multivariate time series, more precisely for a controlled vector autoregressive moving average stationary process, or VARMAX pro...
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David Balderas, Pedro Ponce, Diego Lopez-Bernal and Arturo Molina
Education 4.0 is looking to prepare future scientists and engineers not only by granting them with knowledge and skills but also by giving them the ability to apply them to solve real life problems through the implementation of disruptive technologies. A...
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Gaetano Ortolano, Alberto D?Agostino, Mario Pagano, Roberto Visalli, Michele Zucali, Eugenio Fazio, Ian Alsop and Rosolino Cirrincione
ArcStereoNet is a new ArcGIS® based toolbox for stereographic projections that we implement here using Python 2.7 programming language. The reason to develop another stereographic projection package arises from the recent use of Python as an exclusive pr...
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Kai-Xu Han, Wei Chien, Chien-Ching Chiu and Yu-Ting Cheng
At present, in the mainstream sentiment analysis methods represented by the Support Vector Machine, the vocabulary and the latent semantic information involved in the text are not well considered, and sentiment analysis of text is dependent overly on the...
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Lei Fu, Tiantian Zhu, Guobing Pan, Sihan Chen, Qi Zhong and Yanding Wei
Power quality disturbances (PQDs) have a large negative impact on electric power systems with the increasing use of sensitive electrical loads. This paper presents a novel hybrid algorithm for PQD detection and classification. The proposed method is cons...
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Suge Dong, Daidi Hu, Ruijun Li and Mingtao Ge
Aimed at the problems of high redundancy of trajectory and susceptibility to background interference in traditional dense trajectory behavior recognition methods, a human action recognition method based on foreground trajectory and motion difference desc...
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Shuangshuang Chen, Huiyi Liu, Xiaoqin Zeng, Subin Qian, Wei Wei, Guomin Wu and Baobin Duan
The objective of this work is image classification, whose purpose is to group images into corresponding semantic categories. Four contributions are made as follows: (i) For computational simplicity and efficiency, we directly adopt raw image patch vector...
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Xiaoling Tao, Deyan Kong, Yi Wei and Yong Wang
Data fusion is usually performed prior to classification in order to reduce the input space. These dimensionality reduction techniques help to decline the complexity of the classification model and thus improve the classification performance. The traditi...
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