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Journal Articles
- 2020
[j17]Xiaofang Liu, Jun Wang, Dansong Cheng, Feng Tian, Yongqiang Zhang:
Affinity matrix with large eigenvalue gap for graph-based subspace clustering and semi-supervised classification. Eng. Appl. Artif. Intell. 93: 103722 (2020)- [j16]Xiaofang Liu, Jun Wang, Dansong Cheng, Daming Shi, Yongqiang Zhang:
Non-convex low-rank representation combined with rank-one matrix sum for subspace clustering. Soft Comput. 24(20): 15317-15326 (2020) - 2019
- [j15]Dongfang Zhao
, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang:
Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning. IEEE Access 7: 55763-55769 (2019) - [j14]Dongfang Zhao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang:
An Active Exploration Method for Data Efficient Reinforcement Learning. Int. J. Appl. Math. Comput. Sci. 29(2): 351-362 (2019) - [j13]Depeng Gao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xiaopeng Fan, Xianglong Tang:
Utilizing Relevant RGB-D Data to Help Recognize RGB Images in the Target Domain. Int. J. Appl. Math. Comput. Sci. 29(3): 611-621 (2019) - [j12]Guoqiang Zhou, Shui Qin, Hongfei Zhou, Dansong Cheng:
A differential privacy noise dynamic allocation algorithm for big multimedia data. Multim. Tools Appl. 78(3): 3747-3765 (2019) - [j11]Dansong Cheng, Daming Shi, Feng Tian, Xiaofang Liu:
A level set method for image segmentation based on Bregman divergence and multi-scale local binary fitting. Multim. Tools Appl. 78(15): 20585-20608 (2019) - [j10]Dansong Cheng, Yongqiang Zhang, Ce Liu, Xiaofang Liu:
Sign-correlation cascaded regression for face alignment. Multim. Tools Appl. 78(18): 26681-26699 (2019) - [j9]Dansong Cheng, Yongqiang Zhang, Feng Tian, Ce Liu, Xiaofang Liu:
Sign correlation subspace for face alignment. Soft Comput. 23(1): 241-249 (2019) - 2018
- [j8]Dansong Cheng, Feng Tian, Lin Liu, Xiaofang Liu, Ye Jin:
Image segmentation based on multi-region multi-scale local binary fitting and Kullback-Leibler divergence. Signal Image Video Process. 12(5): 895-903 (2018) - 2017
- [j7]Lin Liu, Dansong Cheng, Feng Tian, Daming Shi, Rui Wu:
Active contour driven by multi-scale local binary fitting and Kullback-Leibler divergence for image segmentation. Multim. Tools Appl. 76(7): 10149-10168 (2017) - [j6]Daming Shi, Jun Wang, Dansong Cheng, Junbin Gao:
A global-local affinity matrix model via EigenGap for graph-based subspace clustering. Pattern Recognit. Lett. 89: 67-72 (2017) - [j5]Dansong Cheng, Jianzhe Yang, Jun Wang, Daming Shi, Xiaofang Liu:
Double-noise-dual-problem approach to the augmented Lagrange multiplier method for robust principal component analysis. Soft Comput. 21(10): 2723-2732 (2017) - 2016
- [j4]Jun Wang, Daming Shi, Dansong Cheng, Yongqiang Zhang, Junbin Gao:
LRSR: Low-Rank-Sparse representation for subspace clustering. Neurocomputing 214: 1026-1037 (2016) - 2013
- [j3]Ken Tian, Ben Guo, Guoqing Liu, Ian Mitchell, Dansong Cheng, Wei Zhao:
KCMAC-BYY: Kernel CMAC using Bayesian Ying-Yang learning. Neurocomputing 101: 24-31 (2013) - [j2]Dansong Cheng, Minh Nhut Nguyen, Junbin Gao, Daming Shi:
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. Neural Networks 48: 173-179 (2013) - 2008
- [j1]Dansong Cheng, Xianglong Tang, Jiafeng Liu, Xiaofang Liu:
Multi-object Segmentation Based on Improved Pulse Coupled Neural Network. Comput. Inf. Sci. 1(4): 91-98 (2008)
Conference and Workshop Papers
- 2019
- [c9]Lin Liu, Daming Shi, Dansong Cheng, Maysam Orouskhani:
An Advanced Harmony Search Algorithm Based on Harmony Anchoring and Reverse Learning. ICTAI 2019: 1724-1728 - 2018
- [c8]Dongfang Zhao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang:
Data-Efficient Reinforcement Learning Using Active Exploration Method. ICONIP (3) 2018: 265-276 - 2017
- [c7]Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng:
Low-Rank-Sparse Subspace Representation for Robust Regression. CVPR 2017: 2972-2981 - [c6]Dansong Cheng, Yongqiang Zhang, Feng Tian, Daming Shi, Xiangfang Liu:
Robust visual tracking based on L1 expanded template. ICMLC 2017: 397-403 - 2016
- [c5]Xiaofang Liu, Ruikang Li, Dansong Cheng, Kai Cheng:
Investigation on the construction of the Relevance Vector Machine based on cross entropy minimization. ICAC 2016: 233-237 - 2014
- [c4]Siqian Li, Shiwen He, Jianzhe Yang, Yi Sun, Dansong Cheng, Daming Shi:
Intelligent pancreatitis diagnosis-based on relevance vector machine. ICMLC 2014: 601-606 - 2013
- [c3]Jun Wang, Dansong Cheng, Xing Feng, Guohua Zhang:
Object tracking with Kalman filter and discrete cosine transform. ICMLC 2013: 1501-1505 - [c2]Mingsuo Li, Daming Shi, Dansong Cheng, Liying Zheng:
Vision-based robot navigation using parallel Hough transform. ICMLC 2013: 1519-1526 - 2012
- [c1]Dansong Cheng, Daming Shi, Xianglong Tang, Jiafeng Liu:
A Local-Context-Based Fuzzy Algorithm for Image Enhancement. IScIDE 2012: 165-171
Coauthor Index
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