no code implementations • 28 Mar 2024 • Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie
In this paper, we propose a novel incomplete multi-view clustering network, called Cognitive Deep Incomplete Multi-view Clustering Network (CDIMC-net), to address these issues.
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2023 • Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu
View missing and label missing are two challenging problems in the applications of multi-view multi-label classification scenery.
1 code implementation • CVPR 2023 • Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu
Graph-based multi-view clustering has attracted extensive attention because of the powerful clustering-structure representation ability and noise robustness.
1 code implementation • 17 Aug 2022 • Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li
However, in practical applications, such as disease diagnosis, multimedia analysis, and recommendation system, it is common to observe that not all views of samples are available in many cases, which leads to the failure of the conventional multi-view clustering methods.
no code implementations • 31 Dec 2019 • Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, WangMeng Zuo, Chia-Wen Lin
However, there are substantial differences in the various types of deep learning methods dealing with image denoising.
no code implementations • 5 Jan 2019 • Imad Rida, Lunke Fei, Hugo Proença, Amine Nait-ali, Abdenour Hadid
As an advanced research topic in forensics science, automatic shoe-print identification has been extensively studied in the last two decades, since shoe marks are the clues most frequently left in a crime scene.
no code implementations • 3 Jan 2019 • Jie Wen, Zuofeng Zhong, Zheng Zhang, Lunke Fei, Zhihui Lai, Runze Chen
This paper proposes a novel discriminative regression method, called adaptive locality preserving regression (ALPR) for classification.
no code implementations • 28 Oct 2018 • Chunwei Tian, Yong Xu, Lunke Fei, Junqian Wang, Jie Wen, Nan Luo
Owing to flexible architectures of deep convolutional neural networks (CNNs), CNNs are successfully used for image denoising.
no code implementations • 11 Oct 2018 • Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
Since the proposal of big data analysis and Graphic Processing Unit (GPU), the deep learning technology has received a great deal of attention and has been widely applied in the field of imaging processing.
no code implementations • 21 Jul 2016 • Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong
Conventional methods usually capture the only one of the most dominant direction of palmprint images.