Results 61 to 70 of about 107,551 (188)

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

open access: yes, 2018
Recently, the introduction of the generative adversarial network (GAN) and its variants has enabled the generation of realistic synthetic samples, which has been used for enlarging training sets.
Cheung, Ngai-Man   +5 more
core   +1 more source

Challenges for unsupervised anomaly detection in particle physics

open access: yesJournal of High Energy Physics, 2022
Anomaly detection relies on designing a score to determine whether a particular event is uncharacteristic of a given background distribution. One way to define a score is to use autoencoders, which rely on the ability to reconstruct certain types of data
Katherine Fraser   +4 more
doaj   +1 more source

Real-time active-learning method for audio-based anomalous event identification and rare events classification for audio events detection

open access: yesFrontiers in Computer Science
IntroductionAudio event detection, the application of scientific methods to analyze audio recordings, can be helpful in examining and analyzing audio recordings to preserve, analyze, and interpret sound evidence.
Farkhund Iqbal   +4 more
doaj   +1 more source

p p -> j j e+/- mu+/- nu nu and j j e+/- mu-/+ nu nu at O(\alpha_{em}^6) and O(\alpha_{em}^4 \alpha_s^2) for the Study of the Quartic Electroweak Gauge Boson Vertex at LHC

open access: yes, 2006
We analyze the potential of the CERN Large Hadron Collider (LHC) to study the structure of quartic vector-boson interactions through the pair production of electroweak gauge bosons via weak boson fusion q q -> q q W W.
C. E. Vayonakis   +5 more
core   +1 more source

Anomalies, representations, and self-supervision

open access: yesSciPost Physics Core
We develop a self-supervised method for density-based anomaly detection using contrastive learning, and test it using event-level anomaly data from CMS ADC2021.
Barry M. Dillon, Luigi Favaro, Friedrich Feiden, Tanmoy Modak, Tilman Plehn
doaj   +1 more source

An online graph-based anomalous change detection strategy for unsupervised video surveillance

open access: yesEURASIP Journal on Image and Video Processing, 2019
Due to various accidents and crime threats to an unspecified number of people, many surveillance technologies have been studied as an interest in individual security continues to increase throughout society.
Jongwon KIM, Jeongho CHO
doaj   +1 more source

STATISTICAL ANOMALY DETECTION FOR MONITORING OF HUMAN DYNAMICS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Understanding of human dynamics has drawn attention to various areas. Due to the wide spread of positioning technologies that use GPS or public Wi-Fi, location information can be obtained with high spatial-temporal resolution as well as at low cost.
K. Kamiya, T. Fuse
doaj   +1 more source

Online Nonparametric Anomaly Detection based on Geometric Entropy Minimization

open access: yes, 2017
We consider the online and nonparametric detection of abrupt and persistent anomalies, such as a change in the regular system dynamics at a time instance due to an anomalous event (e.g., a failure, a malicious activity).
Yilmaz, Yasin
core   +1 more source

Abnormal motion pattern detection in video sequences by an unsupervised approach

open access: yesEngineering and Applied Science Research, 2021
Identifying anomalous motion behavior in video sequences is a challenging task. Manual annotation of a large number of surveillance videos is time-consuming because of the limited human brain's visual attention.
Himal Acharya, Basanta Joshi
doaj  

Event Detection Using "Variable Module Graphs" for Home Care Applications

open access: yesEURASIP Journal on Advances in Signal Processing, 2007
Technology has reached new heights making sound and video capture devices ubiquitous and affordable. We propose a paradigm to exploit this technology for home care applications especially for surveillance and complex event detection.
Sethi Amit   +2 more
doaj  

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