Outlier detection
Outlier Detection: Applications And Techniques
... This is a key aspect of any outlier detection technique. Input is generally a collection of data instances (also referred as object, record, point, vector, pattern, event, case, sample, observation, entity) ...
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An incremental local outlier detection method in the Data Stream
... better outlier detection performance than the kNN-based kLOF ...intrusion detection of the network, It was very important to obtain high DR with low ...
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Higher statistical moments and an outlier detection technique as two alternative methods that capture long-term changes in continuous environmental data
... ments (skewness and kurtosis) to examine potential changes of empirical distributions at decadal scale. Second, we adapt an outlier detection procedure combining a non- metric multidimensional scaling ...
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A robust method for inverse transport modeling of atmospheric emissions using blind outlier detection
... To demonstrate the efficiency of these methods in a real- world problem, we used the ETEX tracer experiment data set. The source was first recovered with two previously proposed source-estimation algorithms that assume ...
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Adding value to sensor data of civil engineering structures: automatic outlier detection
... The presented results proved to be very promising, leading this research’s future work to a generalization perspective where all datasets (all sensors for all dams) can be subject to such strategy for outlier ...
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A robust method for inverse transport modelling of atmospheric emissions using blind outlier detection
... these existing methods assume Gaussian additive errors, making them extremely sen- sitive to outlier measurements. We first show that the errors in real-world measurement datasets come from a heavy-tailed ...
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Spatial Outlier Detection of CO2 Monitoring Data Based on Spatial Local Outlier Factor
... the outlier degrees of the monitoring points and the 3σ rule was employed to identify the spatial ...local outlier detection, which provides a reliable reference for the safety assessment and warning ...
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Bol. Ciênc. Geod. vol.18 número3
... To apply outlier detection, the observations of the geodetic networks are adjusted as a free network. First, the unknown parameters, which are not related to the coordinates of the points, are eliminated to ...
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Detection of outliers and outliers clustering on large datasets with distributed computing
... Although an old problem, with roots in Statistics, the outlier detection problem has become more pertinent then ever and yet further difficult to deal with. Better and more ubiquitous ways of data ...
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Bol. Ciênc. Geod. vol.19 número4
... any outlier (HEKIMOGLU et ...of outlier detection methods as spreading effect of the LSE and weakness of configuration of the given geodetic network (HEKIMOGLU et ...an outlier in the ...
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SPATIAL ANALYSIS FOR OUTLIER REMOVAL FROM LIDAR DATA
... Outlier detection in LiDAR point clouds is a necessary process before the subsequent modelling. So far, many studies have been done in order to remove the outliers from LiDAR data. Some of the existing ...
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Atlas-based semi-automatic segmentation of Whole-Body Diffusion Weighted Imaging images: Quantification of tumor burden
... O cancro é uma das principais causas de morte no mundo. As estratégias de tratamento dependem do estadiamento preciso e da vigilância por exames de imagem. A Imagem Pon- derada em Difusão de corpo inteiro (DWI) tem valor ...
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Drought-adaptation potential in Fagus sylvatica: linking moisture availability with genetic diversity and dendrochronology.
... The outlier analyses indicated that ...the outlier loci were found to change frequencies with AWC, FC and/ or DRI Sept–Aug , confirming the former grouping into dry ...
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Mitochondrial respiration--an important therapeutic target in melanoma.
... Table S1 Dysregulated proteins identified by outlier analysis of the SILAC data of WM1158 melanoma cells treated with Elesclomol (E) versus the drug vehicle DMSO (V).. Results are presen[r] ...
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Fine litter accumulation in Central Amazonian Tropical Rainforest canopy
... Open dots correspond to outlier data points that fall beyond 1.5 times the interquartile range.. Notches in the boxes represent roughly a 95% confidence interval for the difference in t[r] ...
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Monitoring the return to normality in six European countries II: the standstill persists
... 2.e) Portugal – daily deaths are already low, but a flat “trend” persists (senseless pessimistic line). 2.f) Spain -results disturbed by odd outlier on May 222 (688 deaths); apart from i[r] ...
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Babesia canis vogeli infection in dogs and ticks in the semiarid region of Pernambuco, Brazil
... This study aimed to report the prevalence of Babesia canis vogeli in dogs and ticks in the urban and rural areas of Petrolina, Pernambuco. Serum and peripheral blood samples of 404 dogs were tested by indirect ...
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Presence of central nervous system tissues as bovine spongiform encephalopathy specified risk material in Turkish raw meat ball (cig kofte)
... Some studies conducted by researchers from various countries on existence of CNS tissues in raw meat and carcasses (Blasche et al., 2012; Helps et al., 2002; Lücker et al., 2002, 2010; Schmidt et al., 2001; Weigel et ...
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Robust non-rigid point set registration using student's-t mixture model.
... 11 outlier sets in the red point set and 54 outliers clustered into 4 outlier sets in the black point ...one outlier set (as indicated by the arrow) are shifted towards the CSF boundary, which ...
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CO-REGISTRATION OF TERRESTRIAL AND UAV-BASED IMAGES – EXPERIMENTAL RESULTS
... In this paper we present experiments and their results focussing on the issues: how do current state-of-the-art tie point matching algorithms perform on this dataset and which influence does image pre-processing have? To ...
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