Dual Graph-Regularized Multi-view Feature Learning
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Zhikui Chen | Liang Zhao | Jianing Du | Xiru Qiu | Zhikui Chen | Xiru Qiu | Liang Zhao | Jianing Du
[1] Anna Goldenberg,et al. EquiNMF: Graph Regularized Multiview Nonnegative Matrix Factorization , 2014, ArXiv.
[2] Ning Chen,et al. Predictive Subspace Learning for Multi-view Data: a Large Margin Approach , 2010, NIPS.
[3] Markus Flierl,et al. Facial expression recognition based on graph-preserving sparse non-negative matrix factorization , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[4] Jiawei Han,et al. Multi-View Clustering via Joint Nonnegative Matrix Factorization , 2013, SDM.
[5] Yves Grandvalet,et al. Composite kernel learning , 2008, ICML '08.
[6] Shiliang Sun,et al. Multi-view Transfer Learning with Adaboost , 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.
[7] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[8] Thomas S. Huang,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation. , 2011, IEEE transactions on pattern analysis and machine intelligence.
[9] Qinghua Hu,et al. Latent Multi-view Subspace Clustering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Xuelong Li,et al. Multi-view Subspace Clustering , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Jun Ye,et al. Dual-graph regularized concept factorization for clustering , 2014, Neurocomputing.
[12] Xiaojun Wu,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Chris H. Q. Ding,et al. Symmetric Nonnegative Matrix Factorization for Graph Clustering , 2012, SDM.
[14] Xiaochun Cao,et al. Diversity-induced Multi-view Subspace Clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Jing Liu,et al. Semi-supervised Unified Latent Factor learning with multi-view data , 2013, Machine Vision and Applications.
[16] John Blitzer,et al. Co-Training for Domain Adaptation , 2011, NIPS.
[17] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[18] Massih-Reza Amini,et al. Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization , 2009, NIPS.
[19] Jian Yu,et al. Common latent space identification for heterogeneous co-transfer clustering , 2017, Neurocomputing.
[20] Rajesh P. N. Rao,et al. Learning Shared Latent Structure for Image Synthesis and Robotic Imitation , 2005, NIPS.
[21] Victor C. M. Leung,et al. Incomplete multi-view clustering via deep semantic mapping , 2018, Neurocomputing.
[22] Haroon Idrees,et al. NMF-KNN: Image Annotation Using Weighted Multi-view Non-negative Matrix Factorization , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Xuelong Li,et al. Constrained Nonnegative Matrix Factorization for Image Representation , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Fei Wang,et al. Graph dual regularization non-negative matrix factorization for co-clustering , 2012, Pattern Recognit..
[25] Zenglin Xu,et al. Simple and Efficient Multiple Kernel Learning by Group Lasso , 2010, ICML.
[26] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[27] Zhi-Hua Zhou,et al. A New Analysis of Co-Training , 2010, ICML.
[28] Jianping Fan,et al. Multi-View Concept Learning for Data Representation , 2015, IEEE Transactions on Knowledge and Data Engineering.