Multi-objective Feature Selection Based on Artificial Bee Colony for Hyperspectral Images
暂无分享,去创建一个
Yong Zhang | Bin Wu | Chun-lin He | Dun-wei Gong | D. Gong | Yong Zhang | Bin Wu | Chun-lin He
[1] Qingfu Zhang,et al. A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization , 2018, IEEE Transactions on Evolutionary Computation.
[2] Claude Cariou,et al. BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sensing , 2011, IEEE Geoscience and Remote Sensing Letters.
[3] Mesut Gündüz,et al. Artificial bee colony algorithm with variable search strategy for continuous optimization , 2015, Inf. Sci..
[4] Farid Melgani,et al. Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[5] Ye Tian,et al. A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization , 2019, IEEE Transactions on Evolutionary Computation.
[6] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[7] Fang Liu,et al. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images , 2016, Pattern Recognit..
[8] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[9] Dun-Wei Gong,et al. A return-cost-based binary firefly algorithm for feature selection , 2017, Inf. Sci..
[10] Ye Tian,et al. An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization , 2015, IEEE Transactions on Evolutionary Computation.
[11] Yong Zhang,et al. Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm , 2019, Expert Syst. Appl..
[12] Mengjie Zhang,et al. Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification , 2019, ACM Trans. Knowl. Discov. Data.
[13] LinLin Shen,et al. Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[14] Xin Yao,et al. A Survey on Evolutionary Computation Approaches to Feature Selection , 2016, IEEE Transactions on Evolutionary Computation.
[15] Yaochu Jin,et al. A radial space division based evolutionary algorithm for many-objective optimization , 2017, Appl. Soft Comput..
[16] G. F. Hughes,et al. On the mean accuracy of statistical pattern recognizers , 1968, IEEE Trans. Inf. Theory.
[17] Adolfo Martínez Usó,et al. Clustering-Based Hyperspectral Band Selection Using Information Measures , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[18] Qian Du,et al. Semisupervised Band Clustering for Dimensionality Reduction of Hyperspectral Imagery , 2011, IEEE Geoscience and Remote Sensing Letters.
[19] S. Sitharama Iyengar,et al. Data-Driven Techniques in Disaster Information Management , 2017, ACM Comput. Surv..
[20] Jian Cheng,et al. Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification , 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[21] Qi Wang,et al. Hyperspectral Band Selection by Multitask Sparsity Pursuit , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[22] Qing Wang,et al. A filter-based bare-bone particle swarm optimization algorithm for unsupervised feature selection , 2019, Applied Intelligence.
[23] Mengjie Zhang,et al. Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach , 2013, IEEE Transactions on Cybernetics.
[24] Kewei Cheng,et al. Feature Selection , 2016, ACM Comput. Surv..
[25] Yu Xue,et al. A self-adaptive artificial bee colony algorithm based on global best for global optimization , 2017, Soft Computing.
[26] Maoguo Gong,et al. Unsupervised Hyperspectral Band Selection by Fuzzy Clustering With Particle Swarm Optimization , 2017, IEEE Geoscience and Remote Sensing Letters.
[27] Chein-I Chang,et al. Constrained band selection for hyperspectral imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[28] Maoguo Gong,et al. Hyperspectral band selection based on multi-objective optimization with high information and low redundancy , 2018, Appl. Soft Comput..