Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Qinkun Xiao"'
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 388-400 (2023)
Abstract In occlusion and interaction scenarios, human action recognition (HAR) accuracy is low. To address this issue, this paper proposes a novel multi‐modal fusion framework for HAR. In this framework, a module called improved attention long sho
Externí odkaz:
https://doaj.org/article/0b24142f553b44c089636d6ff623e1b6
Publikováno v:
IEEE Access, Vol 11, Pp 134614-134622 (2023)
Since the original signature model did not account for the possible threat of the forging signature attack, the majority of existing multivariate polynomial public key based signature schemes are at risk of forging signatures by equivalent key attack
Externí odkaz:
https://doaj.org/article/58bc457bd3af493ca5ff94f4c4780956
Publikováno v:
IEEE Access, Vol 10, Pp 35768-35783 (2022)
Bearings are broadly applied in various types of industrial systems. Fault diagnosis, as a promising way for reliability of modern industrial internet of thing applications, has attracted increasing attention from both academia and industry fields. B
Externí odkaz:
https://doaj.org/article/d1307744e24e4067b4c720f5782c1ab5
Publikováno v:
IEEE Access, Vol 9, Pp 124132-124141 (2021)
At present, the theory and application of fractional-order neural networks remain in the exploratory stage. We study the asymptotic stability of fractional-order neural networks with Riemann-Liouville (R-L) derivatives. For non-delayed and delayed sy
Externí odkaz:
https://doaj.org/article/dfc9ed664c2049c5b5eeb39bec75e47d
Publikováno v:
IEEE Access, Vol 8, Pp 24979-24989 (2020)
Recent advances have illustrated substantial benefits from learning Bayesian networks (BNs). However, when the available data size is small, the BN parameter learning becomes a key challenge in many intelligent applications. By integrating both sampl
Externí odkaz:
https://doaj.org/article/7dfb37d8e38e479990bec2df876012ab
Publikováno v:
IEEE Access, Vol 8, Pp 216718-216728 (2020)
There are two basic problems in sign language recognition (SLR): (a) isolated word SLR and (b) continuous SLR. Most of the existing continuous SLR methods are extensions of the isolated word SLR methods. These methods use the isolated word SLR result
Externí odkaz:
https://doaj.org/article/f82a536d3c3246de9f5467ab06407043
Publikováno v:
IEEE Access, Vol 7, Pp 112258-112268 (2019)
A novel multimodal fusion approach is proposed for Chinese sign language (CSL) recognition. This framework, the LSTM2+CHMM model, uses dual long short-term memory (LSTM) and a couple hidden Markov model (CHMM) to fuse hand and skeleton sequence infor
Externí odkaz:
https://doaj.org/article/7f936df6e6c74eabafcdd7665e9ae1f6
Autor:
Qinkun Xiao, Ren Song
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0164610 (2016)
A novel motion retrieval approach based on statistical learning and Bayesian fusion is presented. The approach includes two primary stages. (1) In the learning stage, fuzzy clustering is utilized firstly to get the representative frames of motions, a
Externí odkaz:
https://doaj.org/article/5563949e91ae45ac980135b897999ed1
Publikováno v:
IET Image Processing. 17:388-400