Results 61 to 70 of about 91,231 (150)

Robot Introspection with Bayesian Nonparametric Vector Autoregressive Hidden Markov Models

, 2018
Robot introspection, as opposed to anomaly detection typical in process monitoring, helps a robot understand what it is doing at all times. A robot should be able to identify its actions not only when failure or novelty occurs, but also as it executes ...
Guan, Yisheng, Harada, Kensuke, Lin, Hongbin, Rojas, Juan, Wu, Hongmin   +4 more
core   +1 more source

Activity autocorrelation in financial markets. A comparative study between several models

, 2003
We study the activity, i.e., the number of transactions per unit time, of financial markets. Using the diffusion entropy technique we show that the autocorrelation of the activity is caused by the presence of peaks whose time distances are distributed ...
Allegrini, Allegrini, Bouchaud, Brock, Engle, Engle, Feller, Grigolini, Iori, J. Masoliver, J. Perelló, Krawiecki, L. Palatella, M. Montero, Mainardi, Masoliver, Masoliver, Mega, Perelló, Perelló, Sabatelli   +20 more
core   +1 more source

Luck as an Informational Observable for Anomaly Detection in Systems with Memory [PDF]

Interdisciplinary Description of Complex Systems
The detection of anomalous events in noisy systems remains a fundamental challenge across physics, information theory, and complex systems. Conventional approaches typically rely on local statistical deviations, which often fail in non-stationary ...
Carlos Riveros Berger
doaj   +1 more source

Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

, 2015
We present a novel unsupervised deep learning framework for anomalous event detection in complex video scenes. While most existing works merely use hand-crafted appearance and motion features, we propose Appearance and Motion DeepNet (AMDN) which ...
Ricci, Elisa, Sebe, Nicu, Song, Jingkuan, Xu, Dan, Yan, Yan   +4 more
core   +1 more source

Non-equilibrium mean-field theories on scale-free networks

, 2009
Many non-equilibrium processes on scale-free networks present anomalous critical behavior that is not explained by standard mean-field theories. We propose a systematic method to derive stochastic equations for mean-field order parameters that implicitly
Barrat A, Bollobás B, Fabio Caccioli, Liggett T M, Luca Dall’Asta, Molloy M, van Kampen N G, Zinn-Justin J   +7 more
core   +1 more source

Is It Possible to Predict Strong Earthquakes?

, 2014
The possibility of earthquake prediction is one of the key open questions in modern geophysics. We propose an approach based on the analysis of common short-term candidate precursors (2 weeks to 3 months prior to strong earthquake) with the subsequent ...
Polyakov, Yuriy S., Ryabinin, Gennadiy V., Solovyeva, Anna B., Timashev, Serge F.   +3 more
core   +1 more source

Training an Anomalous Noise Event Detection Algorithm for Dynamic Road Traffic Noise Mapping: Environmental Noise Recording Campaign

, 2015
The LIFE+ DYNAMAP project aims at creating dynamic road traffic noise maps automatically upon the levels measured by a low cost sensors network. To ensure these maps reflect the acoustic impact of road infrastructures, it is necessary to exclude other acoustic sources (e.g.
Alías Pujol, Francesc, Socoró Carrié, Joan Claudi, Sevillano Domínguez, Xavier, Nencini, Luca   +3 more
openaire   +2 more sources

Impact of Individual Anomalous Noise Events on the Monitoring of Traffic Noise in Urban Areas

, 2018
At least one million healthy life years are lost every year from traffic-related noise in the western part of Europe according to the World Health Organization. Other diseases have been linked with environmental noise, such as sleep disturbance, heart illnesses or tinnitus. The Environmental Noise Directive 2002/49/EC (END) and the CNOSSOS-EU framework
Orga Vidal, Ferran, Alías Pujol, Francesc, Alsina Pagès, Rosa Maria   +2 more
openaire   +1 more source

Quantum similarity learning for anomaly detection

Journal of High Energy Physics
Anomaly detection is a vital technique for exploring signatures of new physics Beyond the Standard Model (BSM) at the Large Hadron Collider (LHC).
A. Hammad, Mihoko M. Nojiri, Masahito Yamazaki   +2 more
doaj   +1 more source

The macroscopic effects of microscopic heterogeneity

, 2012
Over the past decade, advances in super-resolution microscopy and particle-based modeling have driven an intense interest in investigating spatial heterogeneity at the level of single molecules in cells.
Aleksic, Andrews, Andrews, Aoki, Asakura, Bancaud, Banks, Berg, Betzig, Bray, Bray, Burack, Bénichou, Chevalier, Dard, Duke, Eggeling, Ellis, Ferrell, Ferrell, Gerland, Golding, Gopalakrishnan, Govern, Gowers, Grecco, Gurry, Hancock, Hattne, Hell, Howard, Hu, Huang, Kalay, Kholodenko, Kinkhabwala, Kolch, Koshland, Kusumi, Kusumi, Kusumi, Lagerholm, Li, Lingwood, Lis, Locasale, Lomholt, Lommerse, Lutkenhaus, Machta, Markevich, Mello, Miller, Monod, Morelli, Mugler, Murakoshi, Muramatsu, Nash, Oh, Pike, Plimpton, Plowman, Prior, Redner, Rust, Sauro, Simons, Sourjik, Sourjik, Stanford, Takahashi, Tian, Tkačik, Valitutti, van Albada, van Zon, van Zon, Wartlick, Weiss, Wofsy, Zhao, Zimmerman, Zimmerman   +83 more
core   +1 more source