Results 51 to 60 of about 1,117,435 (318)
2-D iteratively reweighted least squares lattice algorithm and its application to defect detection in textured images [PDF]
, 2006 In this paper, a 2-D iteratively reweighted least squares lattice algorithm, which is robust to the outliers, is introduced and is applied to defect detection problem in textured images.
Ercil, Aytul +7 more
core +2 more sources
MAHALANOBIS DISTANCE AND ITS APPLICATION FOR DETECTING MULTIVARIATE OUTLIERS
Facta Universitatis Series Mathematics and Informatics, 2019 While methods of detecting outliers is frequently implemented by statisticians when analyzing univariate data, identifying outliers in multivariate data pose challenges that univariate data do not.
H. Ghorbani
semanticscholar +1 more source
Contextual Outlier Interpretation
, 2018 Outlier detection plays an essential role in many data-driven applications to identify isolated instances that are different from the majority. While many statistical learning and data mining techniques have been used for developing more effective ...
Hu, Xia, Liu, Ninghao, Shin, Donghwa
core +1 more source
Statistical outliers in random laser emission [PDF]
, 2018 We provide theoretical and experimental evidence of statistical outliers in random laser emission that are not accounted for by the, now established, power-law tailed (L\'evy) distribution.
Cavalieri, Stefano +5 more
core +2 more sources
SEANO: Semi-supervised Embedding in Attributed Networks with Outliers [PDF]
SDM, 2017 In this paper, we propose a novel framework, called Semi-supervised Embedding in Attributed Networks with Outliers (SEANO), to learn a low-dimensional vector representation that systematically captures the topological proximity, attribute affinity and ...
Jiongqian Liang +2 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Frontiers in Applied Mathematics and Statistics, 2022 A sentinel network, Obépine, has been designed to monitor SARS-CoV-2 viral load in wastewaters arriving at wastewater treatment plants (WWTPs) in France as an indirect macro-epidemiological parameter.
Marie Courbariaux +20 more
doaj +1 more source
Molecular Oncology, EarlyView.Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
A influência de outliers nos estudos métricos da informação: uma análise de dados univariados
Em Questão, 2018 Este artigo apresenta uma nova fórmula de detecção de outliers via Análise Exploratória de Dados, levando em conta a assimetria dos dados, e também estuda o efeito da remoção dos outliers dos dados originais.
Luís Fernando Maia Lima +4 more
doaj +1 more source
Outlier detection in multivariate time series via projection pursuit [PDF]
, 2004 This article uses Projection Pursuit methods to develop a procedure for detecting outliers in a multivariate time series. We show that testing for outliers in some projection directions could be more powerful than testing the multivariate series directly.
Galeano, Pedro +2 more
core +1 more source