Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Jiang, Xiaoran"'
Autor:
Blard, Théophile, Ladune, Théo, Philippe, Pierrick, Clare, Gordon, Jiang, Xiaoran, Déforges, Olivier
Overfitted image codecs offer compelling compression performance and low decoder complexity, through the overfitting of a lightweight decoder for each image. Such codecs include Cool-chic, which presents image coding performance on par with VVC while
Externí odkaz:
http://arxiv.org/abs/2403.11651
Axial light field resolution refers to the ability to distinguish features at different depths by refocusing. The axial refocusing precision corresponds to the minimum distance in the axial direction between two distinguishable refocusing planes. Hig
Externí odkaz:
http://arxiv.org/abs/2103.06510
Publikováno v:
In Complementary Therapies in Clinical Practice May 2023 51
Publikováno v:
In Signal Processing: Image Communication August 2022 106
Autor:
JIANG, Xiaoran
Sequential structure imposed by the forward linear progression of time is omnipresent in all cognitive behaviors. This thesis proposes a novel model to store sequences of any length, scalar or vectorial, in binary neural networks. Particularly, the m
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-01071038
http://tel.archives-ouvertes.fr/docs/01/07/10/38/PDF/2014telb0303_Jiang_Xiaoran.pdf
http://tel.archives-ouvertes.fr/docs/01/07/10/38/PDF/2014telb0303_Jiang_Xiaoran.pdf
Autor:
Du, Hetong, Zhao, Yiqing, Wu, Fuqing, Ouyang, Peifei, Chen, Jinchun, Jiang, Xiaoran, Ye, Jianwen, Chen, Guo-Qiang
Publikováno v:
In Metabolic Engineering July 2020 60:119-127
An extension to a recently introduced architecture of clique-based neural networks is presented. This extension makes it possible to store sequences with high efficiency. To obtain this property, network connections are provided with orientation and
Externí odkaz:
http://arxiv.org/abs/1409.0334
Publikováno v:
In Biotechnology Advances 1 November 2019 37(6)
Associative memories are data structures addressed using part of the content rather than an index. They offer good fault reliability and biological plausibility. Among different families of associative memories, sparse ones are known to offer the bes
Externí odkaz:
http://arxiv.org/abs/1308.4506
An extension to a recently introduced binary neural network is proposed in order to allow the learning of sparse messages, in large numbers and with high memory efficiency. This new network is justified both in biological and informational terms. The
Externí odkaz:
http://arxiv.org/abs/1208.4009