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Hai-Yan Yao, Wang-Gen Wan and Xiang Li
Analysis of pedestrians? motion is important to real-world applications in public scenes. Due to the complex temporal and spatial factors, trajectory prediction is a challenging task. With the development of attention mechanism recently, transformer netw...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
In recent years, a forward-looking subfield of machine learning has emerged with important applications in a variety of scientific fields. Semi-supervised learning is increasingly being recognized as a burgeoning area embracing a plethora of efficient me...
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Jiantao Liu, Quanlong Feng, Ying Wang, Bayartungalag Batsaikhan, Jianhua Gong, Yi Li, Chunting Liu and Yin Ma
With the rapid process of both urban sprawl and urban renewal, large numbers of old buildings have been demolished in China, leading to wide spread construction sites, which could cause severe dust contamination. To alleviate the accompanied dust polluti...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
Multi-view learning is a machine learning app0roach aiming to exploit the knowledge retrieved from data, represented by multiple feature subsets known as views. Co-training is considered the most representative form of multi-view learning, a very effecti...
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Yuntian Feng, Guoliang Wang, Zhipeng Liu, Runming Feng, Xiang Chen and Ning Tai
Aiming at the current problem that it is difficult to deal with an unknown radar emitter in the radar emitter identification process, we propose an unknown radar emitter identification method based on semi-supervised and transfer learning. Firstly, we co...
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Wen Zhang, Chaoqi Bu, Taketoshi Yoshida and Siguang Zhang
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Yi Yang, Jiping Liu, Shenghua Xu and Yangyang Zhao
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Hong Wang, Qingsong Xu and Lifeng Zhou
To surface the Deep Web, one crucial task is to predict whether a given web page has a search interface (searchable HyperText Markup Language (HTML) form) or not. Previous studies have focused on supervised classification with labeled examples. However, ...
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