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Lei Zhou 0003
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Publications
- 2018
- [j8]Lei Zhou, Yu Zhao, Jie Yang, Qi Yu, Xun Xu:
Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images. IET Image Process. 12(4): 563-571 (2018) - 2017
- [j7]Lei Zhou, Qi Yu, Xun Xu, Yun Gu, Jie Yang:
Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement. Comput. Methods Programs Biomed. 148: 13-25 (2017) - [j6]Nikola K. Kasabov, Lei Zhou, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Jie Yang:
New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modeling and Understanding of Dynamic Cognitive Processes. IEEE Trans. Cogn. Dev. Syst. 9(4): 293-303 (2017) - [c11]Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang:
Self-paced least square semi-coupled dictionary learning for person re-identification. ICIP 2017: 3705-3709 - 2016
- [j5]Nikola K. Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang:
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78: 1-14 (2016) - [c10]Lei Zhou, Penglin Li, Qi Yu, Yu Qiao, Jie Yang:
Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches. ICIP 2016: 399-403 - [c9]Yu Zhao, Lei Zhou, Keren Fu, Jie Yang:
Abnormal event detection using spatio-temporal feature and nonnegative locality-constrained linear coding. ICIP 2016: 3354-3358 - [c8]Shuai Yu, Tao Zhang, Chao Ma, Lei Zhou, Jie Yang, Xiangjian He:
Learning a Discriminative Dictionary with CNN for Image Classification. ICONIP (2) 2016: 185-194 - 2015
- [j4]Lei Zhou, Yijun Li, Rocky Zhou, Yu Qiao, Jie Yang, Yonghui Gao:
On feature-specific parameter learning in conditional random field-based approach for interactive object segmentation. J. Electronic Imaging 24(2): 023012 (2015) - [j3]Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He:
Scalable Semi-Supervised Classification via Neumann Series. Neural Process. Lett. 42(1): 187-197 (2015) - 2014
- [j2]Lei Zhou, Yu Qiao, YiJun Li, Xiangjian He, Jie Yang:
Interactive segmentation based on iterative learning for multiple-feature fusion. Neurocomputing 135: 240-252 (2014) - [j1]Lei Zhou, Keren Fu, YiJun Li, Yu Qiao, Xiangjian He, Jie Yang:
Bayesian salient object detection based on saliency driven clustering. Signal Process. Image Commun. 29(3): 434-447 (2014) - [c7]YiJun Li, Keren Fu, Lei Zhou, Yu Qiao, Jie Yang, Bai Li:
Saliency detection based on extended boundary prior with foci of attention. ICASSP 2014: 2798-2802 - [c6]Lei Zhou, YiJun Li, Yi Peng Song, Yu Qiao, Jie Yang:
Saliency driven clustering for salient object detection. ICASSP 2014: 5372-5376 - [c5]Yijun Li, Keren Fu, Lei Zhou, Yu Qiao, Jie Yang:
Saliency detection via foreground rendering and background exclusion. ICIP 2014: 3263-3267 - [c4]Wei Zhang, Jie Yang, Wenjing Jia, Nikola K. Kasabov, Zhenhong Jia, Lei Zhou:
Unsupervised Segmentation Using Cluster Ensembles. ICONIP (3) 2014: 76-84 - 2013
- [c3]Lei Zhou, Yu Qiao, Jie Yang, Yonghui Gao:
An active contour model based on multiple boundary measures. ICIP 2013: 524-528 - [c2]Lei Zhou, Chen Gong, YiJun Li, Yu Qiao, Jie Yang, Nikola K. Kasabov:
Salient Object Segmentation Based on Automatic Labeling. ICONIP (3) 2013: 584-591 - 2012
- [c1]Lei Zhou, Yu Qiao, Jie Yang, Xiangjian He:
Learning geodesic CRF model for image segmentation. ICIP 2012: 1565-1568
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