Exploració per tema "Outlier detection"
Ara es mostren els items 1-6 de 6
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A new graph matching method for point-set correspondence using the EM algorithm and Softassign
(2012)
Article
Accés restringit per política de l'editorialFinding correspondences between two point-sets is a common step in many vision applications (e.g., image matching or shape retrieval). We present a graph matching method to solve the point-set correspondence problem, which ... -
Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset
(2008-09)
Article
Accés restringit per política de l'editorialAs part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspects ... -
Identifying and classifying aberrant response patterns through functional data analysis
(2020-12-01)
Article
Accés obertWe propose new methods for identifying and classifying aberrant response patterns (ARPs) by means of functional data analysis. These methods take the person response function (PRF) of an individual and compare it with the ... -
Outlier mining in high-dimensional data using the Jensen-Shannon divergence and graph structure analysis
(2022-12-15)
Article
Accés obertReliable anomaly/outlier detection algorithms have practical applications in many fields. For instance, anomaly detection allows to filter and clean the data used to train machine learning algorithms, improving their ... -
Time series outlier and intervention analysis: Irrigation management influences on soil water content in silty loam soil
(2012-08)
Article
Accés restringit per política de l'editorialUnderstanding the field soil water regime is fundamental in scheduling irrigation as well as for monitoring water flow and solute transport. This study was carried out on variable interval irrigation and used time series ... -
Volterra graph-based outlier detection for air pollution sensor networks
(Institute of Electrical and Electronics Engineers (IEEE), 2022-07)
Article
Accés obertToday's air pollution sensor networks pose new challenges given their heterogeneity of low-cost sensors and high-cost instrumentation. Recently, with the advent of graph signal processing, sensor network measurements have ...