Faxian Cao
Orcid: 0000-0002-0281-6092
According to our database1,
Faxian Cao
authored at least 20 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
CoRR, 2023
Are Microphone Signals Alone Sufficient for Joint Microphones and Sources Localization?
CoRR, 2023
Applying and Exploring Supervised Contrastive Regression for Vision-Based Steering Prediction.
Proceedings of the 28th International Conference on Automation and Computing, 2023
2021
Supervised Dimensionality Reduction of Hyperspectral Imagery Via Local and Global Sparse Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm.
Memetic Comput., 2020
2019
Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2019
Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images.
IET Image Process., 2019
2018
Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2018
Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification.
IEEE Access, 2018
Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Unsupervised Hyperspectral Band Selection Based on Maximum Information Entropy and Determinantal Point Process.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
2017
Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images.
Sensors, 2017
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification.
Remote. Sens., 2017
CoRR, 2017
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification.
CoRR, 2017
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification.
CoRR, 2017
Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image.
CoRR, 2017
Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017