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2020 – today
- 2023
[j16]Lijuan Yang
, Nannan Ji, Changpeng Wang, Tianjun Wu, Fuxiao Li:
Robust two-phase registration method for three-dimensional point set under the Bayesian mixture framework. Int. J. Mach. Learn. Cybern. 14(6): 2271-2285 (2023)- [j15]Lijuan Yang, Nannan Ji, Changpeng Wang, Tianjun Wu, Fuxiao Li:
Correction to: robust two-phase registration method for three-dimensional point set under the bayesian mixture framework. Int. J. Mach. Learn. Cybern. 14(6): 2287-2288 (2023) - [j14]Wen Yi, Shijie Wang, Nannan Ji, Changpeng Wang, Yuzhu Xiao, Xueli Song:
SAR image change detection based on Gabor wavelets and convolutional wavelet neural networks. Multim. Tools Appl. 82(20): 30895-30908 (2023)
2010 – 2019
- 2019
- [j13]Guang Shi, Jiangshe Zhang, Nannan Ji, Changpeng Wang:
A new variant of restricted Boltzmann machine with horizontal connections. Neural Comput. Appl. 31(10): 6521-6533 (2019) - [j12]Fang Du, Jiangshe Zhang, Nannan Ji, Junying Hu, Chunxia Zhang:
Discriminative Representation Learning with Supervised Auto-encoder. Neural Process. Lett. 49(2): 507-520 (2019) - 2018
- [j11]Fang Du, Jiangshe Zhang, Nannan Ji, Guang Shi, Chunxia Zhang:
An effective hierarchical extreme learning machine based multimodal fusion framework. Neurocomputing 322: 141-150 (2018) - 2017
- [j10]Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang:
A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer. Neurocomputing 267: 1-17 (2017) - [j9]Yee Leung, Rongrong Li, Nannan Ji:
Application of extended Dempster-Shafer theory of evidence in accident probability estimation for dangerous goods transportation. J. Geogr. Syst. 19(3): 249-271 (2017) - [j8]Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang:
A new regularized restricted Boltzmann machine based on class preserving. Knowl. Based Syst. 123: 1-12 (2017) - 2016
- [j7]Chun-Xia Zhang, Nan-Nan Ji, Guan-Wei Wang:
Randomizing outputs to increase variable selection accuracy. Neurocomputing 218: 91-102 (2016) - 2015
- [j6]Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng:
Enhancing performance of the backpropagation algorithm via sparse response regularization. Neurocomputing 153: 20-40 (2015) - 2014
- [j5]Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Qingyan Yin:
Enhancing performance of restricted Boltzmann machines via log-sum regularization. Knowl. Based Syst. 63: 82-96 (2014) - [j4]Nan-Nan Ji, Jiang-She Zhang, Chun-Xia Zhang:
A sparse-response deep belief network based on rate distortion theory. Pattern Recognit. 47(9): 3179-3191 (2014) - [j3]Chun-Xia Zhang, Jiang-She Zhang, Nan-Nan Ji, Gao Guo:
Learning ensemble classifiers via restricted Boltzmann machines. Pattern Recognit. Lett. 36: 161-170 (2014) - [j2]Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Lei Wang:
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations. Pattern Recognit. Lett. 45: 172-180 (2014) - [c1]Nannan Ji, Jiang-She Zhang:
Parallel tempering with equi-energy moves for training of restricted boltzmann machines. IJCNN 2014: 120-127 - 2013
- [j1]Yee Leung, Nan-Nan Ji, Jiang-Hong Ma:
An integrated information fusion approach based on the theory of evidence and group decision-making. Inf. Fusion 14(4): 410-422 (2013)
Coauthor Index
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