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Rui-Yu Li, Yu Guo and Bin Zhang
Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized extens...
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Runpeng Xu, Zhenjie Chen, Feixue Li and Chen Zhou
With rapid urbanization, urban functional zones have become important for rational government and resource allocation. Points of interest (POIs), as informative and open-access data, have been widely used in studies of urban functions. However, most exis...
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Murali Krishna Senapaty, Abhishek Ray and Neelamadhab Padhy
Healthy and sufficient crop and food production are very much essential for everyone as the population is increasing globally. The production of crops affects the economy of a country to a great extent. In agriculture, observing the soil, weather, and wa...
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Qi Dong, Shuxue Qu, Jiahui Qin, Disheng Yi, Yusi Liu and Jing Zhang
During the period of rapid urbanization, the urban fringe area is the area where urban expansion occurs first, and land use change is the most active. Studying its evolution laws and characteristics is of great significance to urban planning and urban ex...
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Diego Granziol, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael Osborne and Stephen Roberts
We propose an alternative maximum entropy approach to learning the spectra of massive graphs. In contrast to state-of-the-art Lanczos algorithm for spectral density estimation and applications thereof, our approach does not require kernel smoothing. As t...
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Xinning Li, Qun He, Qin Yang, Neng Wang, Hu Wu and Xianhai Yang
In order to obtain the optimal perspectives of the recognition target, this paper combines the motion path of the manipulator arm and camera. A path planning method to find the optimal perspectives based on an A* algorithm is proposed. The quality of per...
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Xin Fu, Hengcai Zhang and Peixiao Wang
Lacking indoor navigation graph has become a bottleneck in indoor applications and services. This paper presents a novel automated indoor navigation graph reconstruction approach from large-scale low-frequency indoor trajectories without any other data s...
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Hoyeol Chae, Ryangkyung Kang and Ho-Sik Seok
Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing. Recent developments in various machine learning techniques have made automated app t...
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Hung Vo-Trung
Pág. 25 - 32
Currently, the Internet has given people the opportunity to access to human knowledge quickly and conveniently through various channels such as Web pages, social networks, digital libraries, portals... However, with the process of exchanging and updating...
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Amer Al-Rahayfeh, Saleh Atiewi, Abdullah Abuhussein and Muder Almiani
Cloud computing (CC) is fast-growing and frequently adopted in information technology (IT) environments due to the benefits it offers. Task scheduling and load balancing are amongst the hot topics in the realm of CC. To overcome the shortcomings of the e...
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