Results 351 to 360 of about 4,738,087 (364)

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Asian Conference on Computer Vision, 2018
Anomaly detection is a classical problem in computer vision, namely the determination of the normal from the abnormal when datasets are highly biased towards one class (normal) due to the insufficient sample size of the other class (abnormal). While this
S. Akçay, Amir Atapour-Abarghouei, T. Breckon   +2 more
semanticscholar   +1 more source

Anomaly detection on the edge

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM), 2017
Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Alex Lu, Joseph Schneible
openaire   +2 more sources

Detection of Anomalies in Diaphragm Walls

2015
If a calamity with a retaining wall occurs, the impact on surrounding buildings and infrastructure is at least an order of magnitude more severe than without the calamity. In 2005 and 2006 major leaks in the retaining walls of underground stations in Amsterdam and Rotterdam occurred.
Spruit, R. (author), Van Tol, F. (author), Broere, W. (author)   +2 more
openaire   +3 more sources

Detecting Anomalies and Intruders [PDF]

, 2006
Brittleness is a well-known problem in expert systems where a conclusion can be made, which human common sense would recognise as impossible e.g. that a male is pregnant. We have extended previous work on prudent expert systems to enable an expert system to recognise when a case is outside its range of experience.
Akara Prayote, Paul Compton
openaire   +1 more source

On-the-fly detection of access anomalies

ACM SIGPLAN Notices, 1989
Access anomalies are a common class of bugs in shared-memory parallel programs. An access anomaly occurs when two concurrent execution threads both write (or one thread reads and the other writes) the same shared memory location without coordination.
openaire   +3 more sources

Distributed Conformal Anomaly Detection

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016
Conformal approach to anomaly detection was recently developed as a reliable framework of classifying examples into normal and abnormal groups based on a training data set containing only normal examples. Its validity property is that a normal example, generated by the same distribution as the examples from the training set, is classified as anomaly ...
openaire   +2 more sources

Anomaly detection in trajectories

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
In this work, we study the problem of anomaly detection of the trajectories of objects in a visual scene. For this purpose, we propose a novel representation for trajectories utilizing covariance features. Representing trajectories via co-variance features enables us to calculate the distance between the trajectories of different lengths. After setting
Hamza Ergezer, Kemal Leblebicioglu
openaire   +2 more sources

Anomaly Detection

2014
This chapter presents an extension of conformal prediction for anomaly detection applications. It includes the presentation and discussion of the Conformal Anomaly Detector (CAD) and the computationally more efficient Inductive Conformal Anomaly Detector (ICAD), which are general algorithms for unsupervised or semi-supervised and offline or online ...
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Anomaly detection for diagnosis

[1990] Digest of Papers. Fault-Tolerant Computing: 20th International Symposium, 2002
The author presents a method for detecting anomalous events in communication networks and other similarly characterized environments in which performance anomalies are indicative of failure. The methodology, based on automatically learning the difference between normal and abnormal behavior, has been implemented as part of an automated diagnosis system
openaire   +2 more sources

Detection of Disturbances and Anomalies

2017
Reactor operators have to judge the state of the reactor. In the operator room they see the panels displaying data on the state of the reactor and decide on the action to be taken to operate safely and economically. A reactor surveillance system is complex enough to encounter errors, failures, or malfunctions.
János Végh, Mihály Makai
openaire   +2 more sources