Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Arash Golibagh Mahyari"'
Autor:
Arash Golibagh Mahyari
Publikováno v:
ICASSP
Despite advancements in deep reinforcement learning algorithms, developing an effective exploration strategy is still an open problem. Most existing exploration strategies either are based on simple heuristics, or require the model of the environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f22a65b31e4bef6e003c853af8fc1a4
https://doi.org/10.1109/icassp39728.2021.9413545
https://doi.org/10.1109/icassp39728.2021.9413545
Autor:
Thomas Locher, Arash Golibagh Mahyari
Publikováno v:
FLAIRS Conference
Industrial robots play an increasingly important role in a growing number of fields. Since the breakdown of a single robot may have a negative impact on the entire process, predictive maintenance systems have gained importance as an essential compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c39107d39e0e7151650a3fab38244773
https://doi.org/10.32473/flairs.v34i1.128451
https://doi.org/10.32473/flairs.v34i1.128451
Autor:
Arash Golibagh Mahyari, Peter Pirolli
Publikováno v:
ICDH
Unhealthy behaviors, e.g., physical inactivity and unhealthful food choice, are the primary healthcare cost drivers in developed countries. Pervasive computational, sensing, and communication technology provided by smartphones and smartwatches have m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::428b5b320a96a35c0d297239f56f51a6
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:225-237
Functional connectivity (FC), defined as the statistical dependency between distinct brain regions, has been an important tool in understanding cognitive brain processes. Most of the current works in FC have focused on the assumption of temporally st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3989226ca3ac252283760e68087b05d6
https://doi.org/10.1109/tbme.2016.2553960
https://doi.org/10.1109/tbme.2016.2553960
Autor:
Arash Golibagh Mahyari, Selin Aviyente
Publikováno v:
Digital Signal Processing. 60:230-241
Simultaneous sparse approximation is a generalization of the standard sparse approximation, for simultaneously representing a set of signals using a common sparsity model. Distributed compressive sensing (DCS) framework has utilized simultaneous spar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3618aedc4d4a2a8e274e6fd8bbc2332
https://doi.org/10.1016/j.dsp.2016.09.010
https://doi.org/10.1016/j.dsp.2016.09.010
Autor:
Arash Golibagh Mahyari, Selin Aviyente
Publikováno v:
ICASSP
Event-related potentials (ERP)s are electrophysiological responses that are commonly used for detecting the brain response to external stimuli. In this paper, we propose to use the sparse common component and innovations model (SCCI) to extract ERPs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8affd8f66fda35d29b20d2aa589f3f7
https://doi.org/10.1109/icassp.2017.7952297
https://doi.org/10.1109/icassp.2017.7952297
Autor:
Arash Golibagh Mahyari, Mehran Yazdi
Publikováno v:
Arabian Journal for Science and Engineering. 39:997-1005
In this work, we propose a framework for segmenting and tracking objects in a static scene using 2D image sequences taken from different viewpoints. The system includes the use of a set of simple algorithms to segment, identify, group and track the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9ad45147ca4f255027d78c9efbeebe5
https://doi.org/10.1007/s13369-013-0693-z
https://doi.org/10.1007/s13369-013-0693-z
Autor:
Mahdi Shaneh, Arash Golibagh Mahyari
Publikováno v:
International Journal of Electronics. 99:1489-1496
Impulse noise reduction has been a challenge for Image Processing researchers for many decades. Median filter had been the most popular denoising methods. However, owing to its edge jittering and removing image detail properties, numerous efforts hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b106d4790406379b29af710fdda83ed
https://doi.org/10.1080/00207217.2012.673150
https://doi.org/10.1080/00207217.2012.673150
Autor:
Arash Golibagh Mahyari, Mehran Yazdi
Publikováno v:
International Journal of Electronics. 98:279-287
In this article, an approach based on linear dependency for remote sensing image fusion is proposed. This linear dependency is considered through a new concept using a Gram matrix. The main advantage of the proposed fusion method is the exploitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7c8f8bc5975700d2cba4ec2b875fe3e
https://doi.org/10.1080/00207217.2010.520153
https://doi.org/10.1080/00207217.2010.520153
Autor:
Arash Golibagh Mahyari
Publikováno v:
International Journal of Electronics. 97:1311-1316
In this article, a new spectral estimation method is proposed based on modifying the Daniell method. This modification is done by decomposing the periodogram before windowing it. It reduces the variance of estimation without removing the details.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9acc49757f98af7e468d8464b3723724
https://doi.org/10.1080/00207217.2010.488908
https://doi.org/10.1080/00207217.2010.488908