Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Qirun Huo"'
Publikováno v:
IEEE Access, Vol 4, Pp 7383-7390 (2016)
Existing optimization methods to heterogeneous redundancy allocation problem often suffer from the local-trap problem in optimization, due to the rugged energy landscapes. In this paper, a new optimization paradigm based on the Markov chain Monte Car
Externí odkaz:
https://doaj.org/article/36cc419d13864e94b9584bfe9420ea91
Publikováno v:
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Publikováno v:
Microelectronics Journal. 83:137-146
The new emerging non-volatile memory technology of Spin Torque Transfer RAM (STT-RAM) has been proposed as a replacement for SRAM based cache. Recently its commercial step has been greatly boosted by big companies such as Samsung. Although STT-RAM ha
Publikováno v:
Image and Vision Computing. 60:134-141
Matching visual appearances of the target object over consecutive frames is a critical step in visual tracking. The accuracy performance of a practical tracking system highly depends on the similarity metric used for visual matching. Recent attempts
Publikováno v:
International Journal of Imaging Systems and Technology. 26:284-294
Ring artifacts often appear in cone-beam computed tomography CBCT images due to the inconsistent response of detector pixels. How to remove ring artifacts without impairing the image quality is still a hard problem. This article proposes a novel meth
Publikováno v:
CIS
In recent years, Discriminant Correlation Filters (DCF) based methods have performed well on online object tracking. And Fully-convolutional Siamese network becomes a dominant approach to real-time object tracking. In this work, we build a two-fold S
Publikováno v:
IEEE Access, Vol 4, Pp 7383-7390 (2016)
Existing optimization methods to heterogeneous redundancy allocation problem often suffer from the local-trap problem in optimization, due to the rugged energy landscapes. In this paper, a new optimization paradigm based on the Markov chain Monte Car
Publikováno v:
ICASSP
Cone-beam computed tomography (CBCT) images often have some ring artifacts because of the inconsistent response of detector pixels. Removing ring artifacts in CBCT images without impairing the image quality is critical for the application of CBCT. In
Publikováno v:
ISPA/IUCC
The advent of non-volatile memory (NVM) technologies drives the convergence of memory and storage towards a single-level store system, which can facilitate to reduce energy consumption. However, the assumptions made for previous well-established cach
Publikováno v:
Neural Information Processing ISBN: 9783319466866
ICONIP (1)
ICONIP (1)
Removing ring artifacts in Cone Beam Computed Tomography (CBCT) images without impairing the image quality is critical for the application of CBCT. In this paper, we propose a novel method for the removal of ring artifacts in CBCT Images using an ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d17b575ec4e9f7e872a8a5a8da647bad
https://doi.org/10.1007/978-3-319-46687-3_55
https://doi.org/10.1007/978-3-319-46687-3_55