[1]王一宾,李田力,程玉胜.结合谱聚类的标记分布学习[J].智能系统学报,2019,14(5):966-973.[doi:10.11992/tis.201809019]
 WANG Yibin,LI Tianli,CHENG Yusheng.Label distribution learning based on spectral clustering[J].CAAI Transactions on Intelligent Systems,2019,14(5):966-973.[doi:10.11992/tis.201809019]
点击复制

结合谱聚类的标记分布学习

参考文献/References:
[1] ZHOU Zhihua, ZHANG Minling. Multi-label learning[M]//SAMMUT C, WEBB G I. Encyclopedia of Machine Learning and Data Mining. Boston, MA:Springer, 2017:875–881.
[2] 王一宾, 程玉胜, 裴根生. 结合均值漂移的多示例多标记学习改进算法[J]. 南京大学学报(自然科学版), 2018, 54(2):422-435 WANG Yibin, CHENG Yusheng, PEI Gensheng. Improved algorithm for multi-instance multi-label learning based on mean shift[J]. Journal of Nanjing University (Natural Science), 2018, 54(2):422-435
[3] ZHANG Minling, ZHOU Zhihua. A review on multi-label learning algorithms[J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(8):1819-1837.
[4] GENG Xin. Label distribution learning[J]. IEEE transactions on knowledge and data engineering, 2016, 28(7):1734-1748.
[5] 季荣姿. 标记分布学习及其应用[D]. 南京:东南大学, 2014. JI Rongzi. Label distribution learning and its applications[D]. Nanjing:Southeast University, 2014.
[6] GENG Xin, HOU Peng. Pre-release prediction of crowd opinion on movies by label distribution learning[C]//Proceedings of the 24th International Conference on Artificial Intelligence. Buenos Aires, Argentina, 2015:3511?3517.
[7] GENG Xin, YIN Chao, ZHOU Zhihua. Facial age estimation by learning from label distributions[J]. IEEE transactions on pattern analysis and machine intelligence, 2013, 35(10):2401-2412.
[8] GENG Xin, XIA Yu. Head pose estimation based on multivariate label distribution[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA, 2014:1837–1842.
[9] 伍育红. 聚类算法综述[J]. 计算机科学, 2015, 42(6A):491-499, 524 WU Yuhong. General overview on clustering algorithms[J]. Computer science, 2015, 42(6A):491-499, 524
[10] GENOLINI C, FALISSARD B. KmL:k-means for longitudinal data[J]. Computational statistics, 2010, 25(2):317-328.
[11] ZHOU Jin, CHEN Long, CHEN C L P, et al. Fuzzy clustering with the entropy of attribute weights[J]. Neurocomputing, 2016, 198:125-134.
[12] ZHANG Minling. Lift:multi-label learning with label-specific features[C]//Proceedings of the 22nd International Joint Conference on Artificial Intelligence. Barcelona, Spain, 2011:1609?1614.
[13] 邵东恒, 杨文元, 赵红. 应用k-means算法实现标记分布学习[J]. 智能系统学报, 2017, 12(3):325-332 SHAO Dongheng, YANG Wenyuan, ZHAO Hong. Label distribution learning based on k-means algorithm[J]. CAAI transactions on lntelligent systems, 2017, 12(3):325-332
[14] 管涛, 杨婷. 谱聚类广义模型与典型算法分析[J]. 模式识别与人工智能, 2014, 27(11):1015-1025 GUAN Tao, YANG Ting. Analysis of general model and classical algorithms for spectral clustering[J]. Pattern recognition and artificial intelligence, 2014, 27(11):1015-1025
[15] ZELNIK-MANOR L, PERONA P. Self-tuning spectral clustering[C]//Proceedings of the 17th International Conference on Neural Information Processing Systems. Cambridge, USA, 2004:1601?1608.
[16] CAI Deng, CHEN Xinlei. Large Scale spectral clustering via landmark-based sparse representation[J]. IEEE transactions on cybernetics, 2015, 45(8):1669-1680.
[17] NG A Y, JORDAN M I, WEISS Y. On spectral clustering:analysis and an algorithm[C]//Proceedings of the 14th International Conference on Neural Information Processing Systems:Natural and Synthetic. Cambridge, USA, 2001:849–856.
[18] YANG Yifang, WANG Yuping, XUE Xingsi. A novel spectral clustering method with superpixels for image segmentation[J]. Optik, 2016, 127(1):161-167.
[19] WANG Sheng, LU Jianfeng, GU Xingjian, et al. Unsupervised discriminant canonical correlation analysis based on spectral clustering[J]. Neurocomputing, 2016, 171:425-433.
[20] LI Xinye, GUO Lijie. Constructing affinity matrix in spectral clustering based on neighbor propagation[J]. Neurocomputing, 2012, 97:125-130.
[21] 赵权, 耿新. 标记分布学习中目标函数的选择[J]. 计算机科学与探索, 2017, 11(5):708-719 ZHAO Quan, GENG Xin. Selection of target function in label distribution learning[J]. Journal of frontiers of computer science and technology, 2017, 11(5):708-719
[22] 耿新, 徐宁, 邵瑞枫. 面向标记分布学习的标记增强[J]. 计算机研究与发展, 2017, 54(6):1171-1184 GENG Xin, XU Ning, SHAO Ruifeng. Label enhancement for label distribution learning[J]. Journal of computer research and development, 2017, 54(6):1171-1184
相似文献/References:
[1]汪? 中,刘贵全,陈恩红.基于模糊K-harmonic means的谱聚类算法[J].智能系统学报,2009,4(2):95.
 WANG Zhong,LIU Gui-quan,CHEN En-hong.A spectral clustering algorithm based on fuzzy Kharmonic means[J].CAAI Transactions on Intelligent Systems,2009,4():95.
[2]张伟伟,薄 华,王晓峰.多特征-谱聚类的SAR图像溢油分割[J].智能系统学报,2010,5(6):551.
 ZHANG Wei-wei,BO Hua,WANG Xiao-feng.SAR oil spill image segmentationbased on a multispectral clustering algorithm[J].CAAI Transactions on Intelligent Systems,2010,5():551.
[3]林大华,杨利锋,邓振云,等.稀疏样本自表达子空间聚类算法[J].智能系统学报,2016,11(5):696.[doi:10.11992/tis.201601005]
 LIN Dahua,YANG Lifeng,DENG Zhenyun,et al.Sparse sample self-representation for subspace clustering[J].CAAI Transactions on Intelligent Systems,2016,11():696.[doi:10.11992/tis.201601005]
[4]赵晓晓,周治平.结合稀疏表示与约束传递的半监督谱聚类算法[J].智能系统学报,2018,13(5):855.[doi:10.11992/tis.201703013]
 ZHAO Xiaoxiao,ZHOU Zhiping.A semi-supervised spectral clustering algorithm combined with sparse representation and constraint propagation[J].CAAI Transactions on Intelligent Systems,2018,13():855.[doi:10.11992/tis.201703013]
[5]储德润,周治平.公理化模糊共享近邻自适应谱聚类算法[J].智能系统学报,2019,14(5):897.[doi:10.11992/tis.201810002]
 CHU Derun,ZHOU Zhiping.Shared nearest neighbor adaptive spectral clustering algorithm based on axiomatic fuzzy set theory[J].CAAI Transactions on Intelligent Systems,2019,14():897.[doi:10.11992/tis.201810002]
[6]储德润,周治平.加权PageRank改进地标表示的自编码谱聚类算法[J].智能系统学报,2020,15(2):302.[doi:10.11992/tis.201904021]
 CHU Derun,ZHOU Zhiping.An autoencoder spectral clustering algorithm for improving landmark representation by weighted PageRank[J].CAAI Transactions on Intelligent Systems,2020,15():302.[doi:10.11992/tis.201904021]
[7]刘金平,周嘉铭,贺俊宾,等.面向不均衡数据的融合谱聚类的自适应过采样法[J].智能系统学报,2020,15(4):732.[doi:10.11992/tis.201909062]
 LIU Jinping,ZHOU Jiaming,HE Junbin,et al.Spectral clustering-fused adaptive synthetic oversampling approach for imbalanced data processing[J].CAAI Transactions on Intelligent Systems,2020,15():732.[doi:10.11992/tis.201909062]
[8]王丽娟,丁世飞.一种基于ELM-AE特征表示的谱聚类算法[J].智能系统学报,2021,16(3):560.[doi:10.11992/tis.202005021]
 WANG Lijuan,DING Shifei.A spectral clustering algorithm based on ELM-AE feature representation[J].CAAI Transactions on Intelligent Systems,2021,16():560.[doi:10.11992/tis.202005021]
[9]秦天,滕齐发,贾修一.结合局部标记序关系的弱监督标记分布学习[J].智能系统学报,2023,18(1):47.[doi:10.11992/tis.202204018]
 QIN Tian,TENG Qifa,JIA Xiuyi.Weakly supervised label distribution learning by maintaining local label ranking[J].CAAI Transactions on Intelligent Systems,2023,18():47.[doi:10.11992/tis.202204018]
[10]毕志臻,杨德刚,冯骥.面向超大规模数据的自适应谱聚类算法[J].智能系统学报,2023,18(2):251.[doi:10.11992/tis.202110038]
 BI Zhizhen,YANG Degang,FENG Ji.Self-adaptive spectral clustering algorithm for ultra-large-scale data[J].CAAI Transactions on Intelligent Systems,2023,18():251.[doi:10.11992/tis.202110038]

备注/Memo

收稿日期:2018-09-13。
基金项目:安徽省高校重点科研项目(KJ2017A352).
作者简介:王一宾,男,1970年生,教授,主要研究方向为多标记学习、机器学习和软件安全。发表学术论文40余篇;李田力,男,1996年生,硕士研究生,主要研究方向为标记分布学习;程玉胜,男,1969年生,教授,博士,主要研究方向为数据挖掘、粗糙集。发表学术论文90余篇。
通讯作者:程玉胜.E-mail:chengyshaq@163.com

更新日期/Last Update: 1900-01-01
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com