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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
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Zhangang Wang
The application of AR to explore augmented map representation has become a research hotspot due to the growing application of AR in maps and geographic information in addition to the rising demand for automated map interpretation. Taking the AR map as th...
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Haibin Liao, Li Yuan, Mou Wu, Liangji Zhong, Guonian Jin and Neal Xiong
Facial recognition.
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Shengyu Pei and Xiaoping Fan
Existing person re-recognition (Re-ID) methods usually suffer from poor generalization capability and over-fitting problems caused by insufficient training samples. We find that high-level attributes, semantic information, and part-based local informatio...
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Fred Petry and Ronald Yager
Data mining refers to a variety of techniques in the fields of databases, machine learning and pattern recognition. The intent is to obtain useful patterns and associations from a large collection of data. In this paper we describe extensions to the attr...
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Ning Li, Kefu Chen and Huixin He
According to the natural language perspective, UGC has been significantly used for the screening of key nodes in knowledge discovery and strategic investment. This article presents a new research framework that is proposed for the decomposition of UGC kn...
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Chuan Yin, Binyu Zhang, Wanzeng Liu, Mingyi Du, Nana Luo, Xi Zhai and Tu Ba
Expansion of the entity attribute information of geographic knowledge graphs is essentially the fusion of the Internet?s encyclopedic knowledge. However, it lacks structured attribute information, and synonymy and polysemy always exist. These reduce the ...
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Huili Zhang, Xiaowen Zhou, Huan Li, Ge Zhu and Hongwei Li
This study is oriented towards machine autonomous mapping and the need to improve the efficiency of map point symbol recognition and configuration. Therefore, an intelligent recognition method for point symbols was developed using the You Only Look Once ...
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Xiangxiang Zheng, Guojin He, Shanshan Wang, Yi Wang, Guizhou Wang, Zhaoying Yang, Junchuan Yu and Ning Wang
The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone on b...
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Su Cao, Shihong Du, Shuwen Yang and Shouhang Du
Urban parks have important impacts on urban ecosystems and in disaster prevention. They also have diverse social functions that are important to the living conditions and spatial structures of cities. Identifying and classifying the different types of ur...
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