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Published in 2017 at "Memetic Computing"
DOI: 10.1007/s12293-016-0189-y
Abstract: As an indispensable approach of one class classification, support vector data description (SVDD) has been studied within diverse research areas and application domains. Distant SVDD (dSVDD) is a variant of SVDD that shows higher identification…
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Keywords:
fast distant;
support vector;
vector data;
svdd ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.01.070
Abstract: A generalized version of SVDD which considers feature variance of each dimension adaptively.Solution of ELPDD can be obtained by solving a convex optimization problem.A Mahalanobis distance for novelty detection.A strategy to speed up training for…
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Keywords:
dimension;
svdd;
data description;
description ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13112104
Abstract: Key performance indicator (KPI) anomaly detection is the underlying core technology in Artificial Intelligence for IT operations (AIOps). It has an important impact on subsequent anomaly location and root cause analysis. Variational auto-encoder (VAE) is…
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Keywords:
anomaly detection;
method;
detection;
svdd ... See more keywords