Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mohammad T. Manzuri-Shalmani"'
Autor:
Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring
Publikováno v:
IEEE Access, Vol 9, Pp 99235-99248 (2021)
Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the anatomical variation of the esophagus, as well as the occasional presenc
Externí odkaz:
https://doaj.org/article/942e780981834ffb83afb97f284d0649
Publikováno v:
IEEE Transactions on Mobile Computing. 15:503-515
To evaluate the performance of distributed medium access control (MAC) layer of emerging ultra wideband (UWB) and 60-GHz millimeter wave (mmWave) wireless personal area networks (WPANs) based on distributed reservation protocol (DRP) of ECMA-368 and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82c175f7f2164b04383551b510ec4a58
https://doi.org/10.1109/tmc.2015.2417881
https://doi.org/10.1109/tmc.2015.2417881
Publikováno v:
Wireless Days
In this short paper, we study the deafness problem raised in the directional multi Gigabit transmission of IEEE 802.11ad standard which causes the devices to experience unequal chance of accessing the medium. We define three groups of Quasi-Omni (QO)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::765a713fe6335f72f7933c17a885889b
https://doi.org/10.1109/wd.2017.7918105
https://doi.org/10.1109/wd.2017.7918105
Autor:
Mohammad T. Manzuri-Shalmani, Bahman Pedrood, Samira Ghareh Gozlou, Mohammadreza Zolfaghari, Amin Jourabloo
Publikováno v:
Machine Vision and Applications. 25:1489-1499
Recent studies have demonstrated that high-level semantics in data can be captured using sparse representation. In this paper, we propose an approach to human body pose estimation in static images based on sparse representation. Given a visual input,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcf5b0c113b32562ec964d16b5e841c7
https://doi.org/10.1007/s00138-014-0613-6
https://doi.org/10.1007/s00138-014-0613-6
Publikováno v:
IEEE Transactions on Mobile Computing. 12:1201-1213
To evaluate the performance of the distributed medium access control layer of the emerging ultrawideband and 60-GHz millimeter wave (mmWave) wireless personal area networks based on ECMA-368 and ECMA-387 standards, the first step is to determine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d85ebb15a38ed1be6ce61017acb77111
https://doi.org/10.1109/tmc.2012.91
https://doi.org/10.1109/tmc.2012.91
Publikováno v:
Wireless Personal Communications. 70:831-846
A probabilistic method is developed here to model the beacon period length (BPL) defined in the ECMA-368 and ECMA-387 standards for the distributed reservation protocol. The model computes the probability mass function (PMF) of the BPL in a superfram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aeadc62dd8cdfe5e2a11281f7392c67
https://doi.org/10.1007/s11277-012-0724-1
https://doi.org/10.1007/s11277-012-0724-1
Autor:
Hojjat Abdollahi Pourhaghighi, Mohammad T. Manzuri-Shalmani, Behnam Babagholami-Mohamadabadi, Ali Zarghami
Publikováno v:
MultiClust@KDD
Distance metric learning is a powerful approach to deal with the clustering problem with side information. For semi-supervised clustering, usually a set of pairwise similarity and dissimilarity constraints is provided as supervisory information. Alth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935532c04ca2d95181b91d936d241668
https://doi.org/10.1145/2501006.2501011
https://doi.org/10.1145/2501006.2501011
Publikováno v:
ICMLA (2)
Computer-Aided Diagnosis (CAD) systems are widely used for detection of various kinds of abnormalities in mammography images. Masses are one type of these abnormalities which are mostly characterized by their margin and shape. For classification of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d6d2aff8d77597dc7b3f76b91f5cd28
https://doi.org/10.1109/icmla.2012.209
https://doi.org/10.1109/icmla.2012.209
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642351006
Australasian Conference on Artificial Intelligence
Australasian Conference on Artificial Intelligence
This paper proposes a global motion estimation method to remove unintentional camera motions which degrade the visual quality of image sequences. The proposed approach is based on combination of 2D Radon transform, 1D Fourier transform and 1D Scale t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::affdcea80213f1a3484e4b4d0f41b6bd
https://doi.org/10.1007/978-3-642-35101-3_12
https://doi.org/10.1007/978-3-642-35101-3_12
Autor:
Behnam Babagholami-Mohamadabadi, Amir H. Feghahati, Amin Jourabloo, Mohammad T. Manzuri-Shalmani, Mansour Jamzad
Publikováno v:
ISSPIT
In this paper, we present a new method to solve tracking problem. The proposed method combines sparse representation and motion estimation to track an object. Recently, sparse representation has gained much attention in signal processing and computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69dec9c0d9b7189129ef29277c316de4
https://doi.org/10.1109/isspit.2012.6621300
https://doi.org/10.1109/isspit.2012.6621300