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Multitask Learning for Spatial-Spectral Hyperspectral Unmixing
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss.2019.8900229
◽
2019
◽
Author(s):
Burkni Palsson
◽
Johannes R. Sveinsson
◽
Magnus O. Ulfarsson
Keyword(s):
Multitask Learning
◽
Hyperspectral Unmixing
Download Full-text
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Cited By
References
Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning
IEEE Access
◽
10.1109/access.2019.2944072
◽
2019
◽
Vol 7
◽
pp. 148861-148872
◽
Cited By ~ 2
Author(s):
Burkni Palsson
◽
Johannes R. Sveinsson
◽
Magnus O. Ulfarsson
Keyword(s):
Multitask Learning
◽
Hyperspectral Unmixing
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Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing
IEEE Transactions on Geoscience and Remote Sensing
◽
10.1109/tgrs.2020.3041157
◽
2020
◽
pp. 1-15
Author(s):
Yuanchao Su
◽
Xiang Xu
◽
Jun Li
◽
Hairong Qi
◽
Paolo Gamba
◽
...
Keyword(s):
Multitask Learning
◽
Hyperspectral Unmixing
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Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization
2020 28th European Signal Processing Conference (EUSIPCO)
◽
10.23919/eusipco47968.2020.9287456
◽
2021
◽
Author(s):
Timothy Marrinan
◽
Nicolas Gillis
Keyword(s):
Matrix Factorization
◽
Nonnegative Matrix Factorization
◽
Nonnegative Matrix
◽
Hyperspectral Unmixing
Download Full-text
YolTrack: Multitask Learning Based Real-Time Multiobject Tracking and Segmentation for Autonomous Vehicles
IEEE Transactions on Neural Networks and Learning Systems
◽
10.1109/tnnls.2021.3056383
◽
2021
◽
pp. 1-11
Author(s):
Xuepeng Chang
◽
Huihui Pan
◽
Weichao Sun
◽
Huijun Gao
Keyword(s):
Real Time
◽
Autonomous Vehicles
◽
Multitask Learning
◽
Multiobject Tracking
Download Full-text
Spectral-Spatial Hyperspectral Unmixing in Transformed Domains
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss39084.2020.9324094
◽
2020
◽
Author(s):
Chenguang Xu
◽
Shaoquan Zhang
◽
Chengzhi Deng
◽
Zhaoming Wu
◽
Jiaheng Yang
◽
...
Keyword(s):
Hyperspectral Unmixing
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Collaborative Coupled Hyperspectral Unmixing based Sub-Pixel Change Detection for Analyzing Coastal Wetlands
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
◽
10.1109/jstars.2021.3104164
◽
2021
◽
pp. 1-1
Author(s):
Minghui Chang
◽
Xiangchao Meng
◽
Weiwei Sun
◽
Gang Yang
◽
Jiangtao Peng
Keyword(s):
Change Detection
◽
Coastal Wetlands
◽
Hyperspectral Unmixing
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Joint Sparse Representation and Multitask Learning for Hyperspectral Anomaly Detection
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
◽
10.1109/igarss39084.2020.9323657
◽
2020
◽
Author(s):
Yuxiang Zhang
◽
Kai He
◽
Yanni Dong
◽
Ke Wu
◽
Tao Chen
Keyword(s):
Anomaly Detection
◽
Sparse Representation
◽
Multitask Learning
◽
Joint Sparse Representation
Download Full-text
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp39728.2021.9414084
◽
2021
◽
Author(s):
Fengchao Xiong
◽
Jun Zhou
◽
Minchao Ye
◽
Jianfeng Lu
◽
Yuntao Qian
Keyword(s):
Hyperspectral Unmixing
◽
Sparse Autoencoder
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An accurate prediction method of multiple deterioration forms of tool based on multitask learning with low rank tensor constraint
Journal of Manufacturing Systems
◽
10.1016/j.jmsy.2020.11.018
◽
2021
◽
Vol 58
◽
pp. 193-204
Author(s):
Changqing Liu
◽
Jincheng Ni
◽
Peng Wan
Keyword(s):
Prediction Method
◽
Multitask Learning
◽
Accurate Prediction
◽
Low Rank
◽
Rank Tensor
Download Full-text
Improved Multitask Learning in Neural Networks for Predicting Selective Compounds
Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence
◽
10.1145/3409501.3409522
◽
2020
◽
Author(s):
BoNing Liu
Keyword(s):
Neural Networks
◽
Multitask Learning
Download Full-text
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