Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Qingyu Mao"'
Publikováno v:
Multimedia Tools and Applications. 81:12305-12323
Recently, most existing learning-based fusion methods are not fully end-to-end, which still predict the decision map and recover the fused image by the refined decision map. However, in practice, these methods are hard to predict the decision map pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55ac6229d705cbd77a3a20ea3ec21e7f
https://doi.org/10.1007/s11042-021-11278-0
https://doi.org/10.1007/s11042-021-11278-0
Publikováno v:
Journal of Circuits, Systems and Computers. 31
Recently, massive deep learning-based image dehazing methods have sprung up. These methods can effectively remove most of the haze and obtain far better results than the traditional methods. With the removal of the haze, however, edge details of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b455a66554f8ae6f5be90559f7a5934b
https://doi.org/10.1142/s0218126622502905
https://doi.org/10.1142/s0218126622502905
Publikováno v:
Advances in Neural Networks – ISNN 2018 ISBN: 9783319925363
ISNN
ISNN
Restricted Boltzmann machines (RBMs) are widely applied to solve many machine learning problems. Usually, the cost function of RBM is log-likelihood function of marginal distribution of input data, and the training method involves maximizing the cost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de65d7fd29b12690b7598dfaaa08dda9
https://doi.org/10.1007/978-3-319-92537-0_14
https://doi.org/10.1007/978-3-319-92537-0_14
Publikováno v:
KSII Transactions on Internet & Information Systems; Apr2019, Vol. 13 Issue 4, p2180-2197, 18p
Publikováno v:
Mobile Information Systems; 10/17/2018, p1-9, 9p