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Publication search results
found 44 matches
- 2023
- Ao Liu, Dongning Zhao, Tingjun Li:
A data classification method based on particle swarm optimisation and kernel function extreme learning machine. Enterp. Inf. Syst. 17(3) (2023) - 2022
- Aili Wang, Shuang Xing, Yan Zhao, Haibin Wu, Yuji Iwahori:
A Hyperspectral Image Classification Method Based on Adaptive Spectral Spatial Kernel Combined with Improved Vision Transformer. Remote. Sens. 14(15): 3705 (2022) - Situ Yuan, Yifan Wu, Yuping Jiang, Zhonghao Pan, Xifan Yi:
A kernel-based incomplete data ensemble classification method. ICCSIE 2022: 982-984 - 2021
- Chaofan Hu, Shuilong He, Yanxue Wang:
A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis. Appl. Intell. 51(4): 2609-2621 (2021) - Ling Wang, Hongqiao Wang, Guangyuan Fu:
Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification. Comput. Intell. Neurosci. 2021: 9911871:1-9911871:11 (2021) - Lei Pan, Chengxun He, Yang Xiang, Le Sun:
Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple Kernel Learning Method for Hyperspectral Classification. Remote. Sens. 13(1): 50 (2021) - Mingwei Wang, Zitong Jia, Jianwei Luo, Maolin Chen, Shuping Wang, Zhiwei Ye:
A Hyperspectral Image Classification Method Based on Weight Wavelet Kernel Joint Sparse Representation Ensemble and β-Whale Optimization Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2535-2550 (2021) - 2020
- D. Shiny Irene, T. Sethukarasi:
Efficient Kernel Extreme Learning Machine and Neutrosophic C-means-based Attribute Weighting Method for Medical Data Classification. J. Circuits Syst. Comput. 29(16): 2050260:1-2050260:16 (2020) - 2019
- Nooshin Moradi, Nezam Mahdavi-Amiri:
Kernel sparse representation based model for skin lesions segmentation and classification. Comput. Methods Programs Biomed. 182 (2019) - Lijian Yang, Zhujun Wang, Songwei Gao, Meng Shi, Bangli Liu:
Magnetic flux leakage image classification method for pipeline weld based on optimized convolution kernel. Neurocomputing 365: 229-238 (2019) - Junyi Yao, Hongqiao Wang, Ling Wang, Guangyuan Fu:
High Precision Classification of Hyperspectral Image Based on A Hierarchical Localized Multiple Kernel Learning Method. CISP-BMEI 2019: 1-5 - 2018
- Chen Zhao, Kaicheng Li, Xuebin Xu:
A Method Based on S-transform and Hybrid Kernel Extreme Learning Machine for Complex Power Quality Disturbances Classification. ELM 2018: 303-318 - Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler:
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. ICPR 2018: 651-656 - Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine:
A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks. SPAWC 2018: 1-5 - Li Zeng, Zhaolong Yu, Hongyu Zhao:
A pathway-based kernel boosting method for sample classification using genomic data. CoRR abs/1803.03910 (2018) - Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler:
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. CoRR abs/1806.06177 (2018) - 2017
- Chen Ding, Ying Li, Yong Xia, Wei Wei, Lei Zhang, Yanning Zhang:
Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels. Remote. Sens. 9(6): 618 (2017) - Rogério Galante Negri, Wallace C. O. Casaca, Erivaldo Antonio da Silva:
Region-Based Classification of PolSAR Data Through Kernel Methods and Stochastic Distances. CIARP 2017: 433-440 - 2016
- Jianqiang Gao, Lizhong Xu, Fengchen Huang:
A spectral-textural kernel-based classification method of remotely sensed images. Neural Comput. Appl. 27(2): 431-446 (2016) - Yi Wang, Yan Zhang, Haiwei Song:
A Spectral-Texture Kernel-Based Classification Method for Hyperspectral Images. Remote. Sens. 8(11): 919 (2016) - Ni Li, Wenqing Huai, Guanghong Gong:
A MKL-MKB Image Classification Algorithm Based on Multi-kernel Boosting Method. AsiaSim/SCS AutumnSim (1) 2016: 156-164 - Abdurrahman Yesiloglu, Ender Mete Eksioglu:
Classification applications of sparse signal processing and kernel based methods. SIU 2016: 1157-1160 - 2015
- Pei-Jyun Hsieh, Cheng-Hsuan Li, Bor-Chen Kuo:
A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification. IGARSS 2015: 461-464 - Adnan Shakoor, Qinke Peng, Shiquan Sun, Xiao Wang, Jia Lv:
GT-kernelPLS: Game theory based hybrid gene selection method for microarray data classification. SNPD 2015: 205-210 - 2014
- Aditya Tayal:
Effective and Efficient Optimization Methods for Kernel Based Classification Problems. University of Waterloo, Ontario, Canada, 2014 - Ramazan Gokberk Cinbis:
Classification d'images et localisation d'objets par des méthodes de type noyau de Fisher. (Fisher kernel based models for image classification and object localization). University of Grenoble, France, 2014 - Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng:
A kernel-based sparsity preserving method for semi-supervised classification. Neurocomputing 139: 345-356 (2014) - Bor-Chen Kuo, Hsin-Hua Ho, Cheng-Hsuan Li, Chih-Cheng Hung, Jin-Shiuh Taur:
A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 317-326 (2014) - Pei-Jyun Hsieh, Cheng-Hsuan Li, Kai-Ching Chen, Bor-Chen Kuo:
A kernel-based feature extraction method for hyperspectral image classification. IGARSS 2014: 513-516 - Chao Ma, Jihong Ouyang, Jian Guan:
Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems. SPAC 2014: 299-304
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