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ORCIDYang Lu 0009
卢杨
Person information
- unicode name: 卢杨
- affiliation: Xiamen University, School of Informatics, China
- affiliation (PhD 2019): Hong Kong Baptist University, Faculty of Science, Hong Kong
- affiliation (former): University of Macau, Faculty of Science and Technology, Department of Computer and Information Science, Macau
Other persons with the same name
- Yang Lu — disambiguation page
- Yang Lu 0001
![[0000-0003-4860-8384]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4860-8384")
— Hohai University, College of Computer and Information, Nanjing, China - Yang Lu 0002 — City University Hong Kong, Department of Mechanical and Biomedical Engineering
- Yang Lu 0003 — Heilongjiang Bayi Agricultural University, Daqing, China
- Yang Lu 0004 — Harvard Medical School, Joslin Diabetes Center, MA, USA (and 1 more)
- Yang Lu 0005 — Tsinghua University, School of Software, Beijing, China
- Yang Lu 0006 — University of California, Los Angeles, USA
- Yang Lu 0007 — Imperial College London, Department of Electrical and Electronic Engineering, UK
- Yang Lu 0008 — Beijing Jiaotong University, School of Computer and Information Technology, Beijing Key Laboratory of Traffic Data Analysis and Mining / Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Yang Lu 0010 — University of Houston, Department of Computer Science, TX, USA
- Yang Lu 0011 (aka: Yang Lv 0001) — United Imaging Healthcare, Molecular Imaging Business Unit, Shanghai, China (and 1 more)
- Yang Lu 0012 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Yang Lu 0013 — Henan University, Research Department, Kaifeng, China
- Yang Lu 0014 — Old Dominion University, Department of Information Technology and Decision Sciences, Norfolk, VA, USA
- Yang Lu 0015 — Hefei University of Technology, School of Computer Science and Information Engineering, China (and 1 more)
- Yang Lu 0016 — Zhengzhou University, China
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2020 – today
- 2025
[j27]Lin Cheng, Yanjie Liang, Yang Lu, Yiu-ming Cheung:
GradToken: Decoupling tokens with class-aware gradient for visual explanation of Transformer network. Neural Networks 181: 106837 (2025)- 2024
- [j26]Yang Lu, Pinxin Qian, Shanshan Yan, Gang Huang, Yuan Yan Tang:
Federated learning on non-IID and globally long-tailed data via meta re-weighting networks. Int. J. Wavelets Multiresolution Inf. Process. 22(3): 2350063:1-2350063:20 (2024) - [j25]Fengling Lv, Pinxin Qian, Yang Lu, Hanzi Wang:
Personalized Federated Learning on long-tailed data via knowledge distillation and generated features. Pattern Recognit. Lett. 186: 178-183 (2024) - [j24]Yiliang Zhang, Yang Lu, Hanzi Wang:
Label-noise learning via uncertainty-aware neighborhood sample selection. Pattern Recognit. Lett. 186: 191-197 (2024) - [j23]Mengke Li, Yiu-ming Cheung, Yang Lu, Zhikai Hu, Weichao Lan, Hui Huang:
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition. IEEE Trans. Artif. Intell. 5(10): 5026-5039 (2024) - [j22]Xinwen Fan, Yukang Zhang, Yang Lu, Hanzi Wang:
PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(1): 411-423 (2024) - [j21]Xiao Wang, Yang Lu, Wanchuan Yu, Yanwei Pang, Hanzi Wang:
Few-Shot Action Recognition via Multi-View Representation Learning. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8522-8535 (2024) - [c47]Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang:
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. AAAI 2024: 13581-13589 - [c46]Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Learning with Extremely Noisy Clients via Negative Distillation. AAAI 2024: 14184-14192 - [c45]Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu:
CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data. AAAI 2024: 14955-14963 - [c44]Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung:
Learning Order Forest for Qualitative-Attribute Data Clustering. ECAI 2024: 1943-1950 - [c43]Kaixuan Chen, Qianji Di, Yang Lu, Hanzi Wang:
Semantic-Guided Network with Contrastive Learning for Video Caption. ICASSP 2024: 3830-3884 - [c42]Zhenyu Qiu, Qiang Qi, Yang Lu, Yan Yan, Hanzi Wang:
Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection. ICASSP 2024: 3895-3899 - [c41]Yajun Jian, Chihui Zhuang, Wenyan He, Kaiwen Du, Yang Lu, Hanzi Wang:
Spatio-Temporal Correlation Learning for Multiple Object Tracking. ICASSP 2024: 6170-6174 - [c40]Wenyan He, Yajun Jian, Yang Lu, Hanzi Wang:
Visual-Linguistic Representation Learning with Deep Cross-Modality Fusion for Referring Multi-Object Tracking. ICASSP 2024: 6310-6314 - [c39]Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang:
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. IJCAI 2024: 4127-4135 - [c38]Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung:
Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. IJCNN 2024: 1-8 - [c37]Xiangbo Yin, Jiangming Shi, Yachao Zhang, Yang Lu, Zhizhong Zhang, Yuan Xie, Yanyun Qu:
Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification. ACM Multimedia 2024: 2242-2251 - [c36]Xiying Zheng, Yukang Zhang, Yang Lu, Hanzi Wang:
Semi-supervised Visible-Infrared Person Re-identification via Modality Unification and Confidence Guidance. ACM Multimedia 2024: 5761-5770 - [c35]Wenyu Yin, Shuyuan Lin, Yang Lu, Hanzi Wang:
Diverse Consensuses Paired with Motion Estimation-Based Multi-Model Fitting. ACM Multimedia 2024: 9281-9290 - [i19]Yukang Zhang, Yang Lu, Yan Yan, Hanzi Wang, Xuelong Li:
Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification. CoRR abs/2401.02162 (2024) - [i18]Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang:
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. CoRR abs/2404.14721 (2024) - [i17]Liyuan Wang, Yan Jin, Zhen Chen, Jinlin Wu, Mengke Li, Yang Lu, Hanzi Wang:
Transitive Vision-Language Prompt Learning for Domain Generalization. CoRR abs/2404.18758 (2024) - [i16]Xiangbo Yin, Jiangming Shi, Yachao Zhang, Yang Lu, Zhizhong Zhang, Yuan Xie, Yanyun Qu:
Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification. CoRR abs/2405.05613 (2024) - [i15]Fengling Lv, Xinyi Shang, Yang Zhou, Yiqun Zhang, Mengke Li, Yang Lu:
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning. CoRR abs/2408.02019 (2024) - [i14]Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang:
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. CoRR abs/2410.21042 (2024) - 2023
- [j20]Qiang Qi, Tianxiang Hou, Yan Yan, Yang Lu, Hanzi Wang:
TCNet: A Novel Triple-Cooperative Network for Video Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3649-3662 (2023) - [j19]Yan Yan, Youze Xu, Jing-Hao Xue, Yang Lu, Hanzi Wang, Wentao Zhu:
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples. IEEE Trans. Cybern. 53(11): 7071-7084 (2023) - [j18]Qiang Qi, Tianxiang Hou, Yang Lu, Yan Yan, Hanzi Wang:
DGRNet: A Dual-Level Graph Relation Network for Video Object Detection. IEEE Trans. Image Process. 32: 4128-4141 (2023) - [c34]Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. CVPR 2023: 23695-23704 - [c33]Yu-Lei Li, Yang Lu, Jie Li, Hanzi Wang:
Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking. ICASSP 2023: 1-5 - [c32]Yang Lu, Pinxin Qian, Gang Huang, Hanzi Wang:
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation. ICASSP 2023: 1-5 - [c31]Hao Yang, Shuyuan Lin, Runqing Jiang, Yang Lu, Hanzi Wang:
DQFORMER: Dynamic Query Transformer for Lane Detection. ICASSP 2023: 1-5 - [c30]Yang Lu, Yiliang Zhang, Bo Han, Yiu-Ming Cheung, Hanzi Wang:
Label-Noise Learning with Intrinsically Long-Tailed Data. ICCV 2023: 1369-1378 - [c29]Kaixuan Chen, Qianji Di, Yang Lu, Hanzi Wang:
Semantic Learning Network for Controllable Video Captioning. ICIP 2023: 880-884 - [c28]Pinxin Qian, Yang Lu, Hanzi Wang:
Long-Tailed Federated Learning Via Aggregated Meta Mapping. ICIP 2023: 2010-2014 - [c27]Mingjie Zhao, Yiqun Zhang, Yuzhu Ji, Yang Lu:
Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning. PRCV (3) 2023: 31-43 - [c26]Xiaolin Huang, Mengke Li, Yang Lu, Hanzi Wang:
DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. PRCV (9) 2023: 104-119 - [c25]Haiyun Tao, Yukang Zhang, Yang Lu, Hanzi Wang:
An Effective Visible-Infrared Person Re-identification Network Based on Second-Order Attention and Mixed Intermediate Modality. PRCV (9) 2023: 120-132 - [c24]Yixian Xie, Hanzi Wang, Yang Lu:
Cascaded-Scoring Tracklet Matching for Multi-object Tracking. PRCV (10) 2023: 161-173 - [i13]Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Semi-Supervised Learning with Annotation Heterogeneity. CoRR abs/2303.02445 (2023) - [i12]Yang Lu, Pinxin Qian, Gang Huang, Hanzi Wang:
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation. CoRR abs/2303.15168 (2023) - [i11]Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. CoRR abs/2304.01279 (2023) - [i10]Xinwen Fan, Yukang Zhang, Yang Lu, Hanzi Wang:
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition. CoRR abs/2304.07230 (2023) - [i9]Mengke Li, Yiu-ming Cheung, Yang Lu, Zhikai Hu, Weichao Lan, Hui Huang:
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition. CoRR abs/2305.10648 (2023) - [i8]Mengke Li, Yiu-ming Cheung, Yang Lu:
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. CoRR abs/2305.11733 (2023) - [i7]Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang:
Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition. CoRR abs/2306.06963 (2023) - [i6]Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu:
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data. CoRR abs/2312.08648 (2023) - [i5]Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Learning with Extremely Noisy Clients via Negative Distillation. CoRR abs/2312.12703 (2023) - 2022
- [j17]Lin Cheng, Pengfei Fang, Yan Yan, Yang Lu, Hanzi Wang:
TRL: Transformer based refinement learning for hybrid-supervised semantic segmentation. Pattern Recognit. Lett. 164: 239-245 (2022) - [j16]Hanlin Guo, Yang Lu, Guobao Xiao, Shuyuan Lin, Hanzi Wang:
Triplet Relationship Guided Sampling Consensus for Robust Model Estimation. IEEE Signal Process. Lett. 29: 817-821 (2022) - [j15]Hanlin Guo, Yang Lu, Haosheng Chen, Hailing Luo, Guobao Xiao, Haifang Zhang, Hanzi Wang:
Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers. IEEE Trans. Ind. Electron. 69(4): 4065-4075 (2022) - [c23]Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang:
Embedding Adaptation Network with Transformer for Few-Shot Action Recognition. ACML 2022: 515-530 - [c22]Mengke Li, Yiu-Ming Cheung, Yang Lu:
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. CVPR 2022: 6919-6928 - [c21]Chihui Zhuang, Yanjie Liang, Yan Yan, Yang Lu, Hanzi Wang:
Bounding Box Distribution Learning and Center Point Calibration for Robust Visual Tracking. ICASSP 2022: 4718-4722 - [c20]Haihui Ye, Guangge Wang, Yang Lu, Yan Yan, Hanzi Wang:
Multi-Focus Guided Semantic Aggregation for Video Object Detection. ICASSP 2022: 4723-4727 - [c19]Jun Liang, Haosheng Chen, Yan Yan, Yang Lu, Hanzi Wang:
Guided Sampling Based Feature Aggregation for Video Object Detection. ICIP 2022: 1116-1120 - [c18]Hao Yang, Shuyuan Lin, Lin Cheng, Yang Lu, Hanzi Wang:
SCINet: Semantic Cue Infusion Network for Lane Detection. ICIP 2022: 1811-1815 - [c17]Kaiwen Du, Xiao Wang, Yan Yan, Yang Lu, Hanzi Wang:
Egnet: A Novel Edge Guided Network for Instance Segmentation. ICIP 2022: 3868-3872 - [c16]Tianxiang Hou, Qiang Qi, Yang Lu, Kaiwen Du, Hanzi Wang:
Dual Selection Network for Video Object Detection. ICME 2022: 1-6 - [c15]Xinyi Shang, Yang Lu, Yiu-Ming Cheung, Hanzi Wang:
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. ICME 2022: 1-6 - [c14]Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang:
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. IJCAI 2022: 2218-2224 - [i4]Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang:
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. CoRR abs/2204.13399 (2022) - [i3]Xinyi Shang, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. CoRR abs/2205.00172 (2022) - [i2]Yiliang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection. CoRR abs/2208.09833 (2022) - 2021
- [j14]Chen Wang, Runqing Chen, Yang Lu, Yan Yan, Hanzi Wang:
Recurrent Context Aggregation Network for Single Image Dehazing. IEEE Signal Process. Lett. 28: 419-423 (2021) - [j13]Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang:
Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering. IEEE Trans. Cybern. 51(3): 1598-1612 (2021) - [c13]Yukang Zhang, Yan Yan, Yang Lu, Hanzi Wang:
Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification. ACM Multimedia 2021: 788-796 - [c12]Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang:
Small-Vote Sample Selection for Label-Noise Learning. ECML/PKDD (3) 2021: 729-744 - 2020
- [j12]Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang:
Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2764-2778 (2020) - [j11]Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang:
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3525-3539 (2020) - [c11]Haihui Ye, Qiang Qi, Ying Wang, Yang Lu, Hanzi Wang:
Global and local feature alignment for video object detection. MMAsia 2020: 10:1-10:7
2010 – 2019
- 2019
- [j10]Lina Yang, Hailong Sun, Cheng Zhong, Zuqiang Meng, Huiwu Luo, Xichun Li, Yuan Yan Tang, Yang Lu:
Hyperspectral image classification using wavelet transform-based smooth ordering. Int. J. Wavelets Multiresolution Inf. Process. 17(6): 1950050:1-1950050:18 (2019) - [i1]Yang Lu, Yiu-ming Cheung, Yuan Yan Tang:
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. CoRR abs/1901.10173 (2019) - 2018
- [j9]Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You:
k-Times Markov Sampling for SVMC. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1328-1341 (2018) - 2017
- [c10]Yang Lu, Yiu-ming Cheung, Yuan Yan Tang:
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift. IJCAI 2017: 2393-2399 - 2016
- [c9]Yang Lu, Yiu-ming Cheung, Yuan Yan Tang:
Hybrid Sampling with Bagging for Class Imbalance Learning. PAKDD (1) 2016: 14-26 - 2015
- [j8]Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo:
A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 348-359 (2015) - [j7]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang:
The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. 45(6): 1169-1179 (2015) - [j6]Yuan Yan Tang, Yang Lu, Haoliang Yuan:
Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform. IEEE Trans. Geosci. Remote. Sens. 53(5): 2467-2480 (2015) - [j5]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu:
The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 26(3): 628-639 (2015) - [c8]Jie Xu, Yang Lu, Bin Zou:
Learning performance of DAGSVM algorithm based on Markov sampling. ICMLC 2015: 910-915 - 2014
- [j4]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu:
Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks 53: 40-51 (2014) - [j3]Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo:
Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2035-2043 (2014) - [j2]Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo:
Hyperspectral Image Classification Based on Regularized Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2174-2182 (2014) - [j1]Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu:
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Trans. Cybern. 44(9): 1497-1507 (2014) - [c7]Yulong Wang, Yuan Yan Tang, Lina Yang, Haoliang Yuan, Huiwu Luo, Yang Lu:
Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields. SMC 2014: 305-310 - [c6]Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo, Yuan Yan Tang:
A novel method for protein structure retrieval using tableau representation and sparse coding. SMC 2014: 4042-4046 - [c5]Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo, Yulong Wang, Haoliang Yuan:
Protein sequence analysis based on fractal-wavelet scheme. SMC 2014: 4065-4070 - [c4]Haoliang Yuan, Huiwu Luo, Lina Yang, Yang Lu, Yulong Wang, Yuan Yan Tang:
Feature extraction based on kernel sparse representation for hyperspectral image classification. SMC 2014: 4071-4076 - 2013
- [c3]Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang:
Sparse representation using contextual information for hyperspectral image classification. CYBCONF 2013: 138-143 - [c2]Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang:
Spectral-spatial linear discriminant analysis for hyperspectral image classification. CYBCONF 2013: 144-149 - [c1]Yuan Yan Tang, Haoliang Yuan, Yang Lu, Patrick Shen-Pei Wang:
Graph-based Sparse Representation for Hyperspectral Image Classification. MLDM Posters 2013: 159-168
Coauthor Index
Yiu-Ming Cheung
aka: Yiu-ming Cheung
aka: Yiu-ming Cheung
[j25] [j24] [j22] [j21] [c46] [c43] [c42] [c41] [c40] [c39] [c36] [c35] [i19] [i18] [i17] [j20] [j19] [j18] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [i13] [i12] [i11] [i10] [i5] [j17] [j16] [j15] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i4] [i3] [i2] [j14] [c13] [c12] [c11]
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