Precise transceiver-free localization in complex indoor environment

Mao, Rui; Peng, Xiang; Zhang, Dian

doi:10.1109/cc.2016.7489971

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Similarly, distance average-based outlier, an equivalent definition in which the average distance to k nearest neighbors is considered, can be defined and denoted as 𝑂 (𝑘,𝑛) 𝑘avg [15]. Because kNN method is easy to implement [16], the above three distance-based definitions become popular.…”

Section: Related Workmentioning

confidence: 99%

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Index Based Hidden Outlier Detection in Metric Space

Mao

Liao

et al. 2016

Scientific Programming

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Useless and noise information occupies large amount of big data, which increases our difficulty to extract worthy information. Therefore outlier detection attracts much attention recently, but if two points are far from other points but are relatively close to each other, they are less likely to be detected as outliers because of their adjacency to each other. In this situation, outliers are hidden by each other. In this paper, we propose a new perspective of hidden outlier. Experimental results show that it is more accurate than existing distance-based definitions of outliers. Accordingly, we exploit a candidate set based hidden outlier detection (HOD) algorithm. HOD algorithm achieves higher accuracy with comparable running time. Further, we develop an index based HOD (iHOD) algorithm to get higher detection speed.

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Section: Related Workmentioning

confidence: 99%

“…It should be noted that not all the variants support the same definitions as ORCA [18]; for instance, iORCA [22] could not support 𝑂 (𝑘,𝑛) 𝑘avg definition. For speeding up kNN search [16], some researchers exploit other research methods, for example, index based algorithm. Knorr et al first bring forward index based method.…”

Section: Related Workmentioning

confidence: 99%