Graph Regularized Feature Selection with Data Reconstruction
暂无分享,去创建一个
Yueting Zhuang | Wilfred Ng | Deng Cai | Xiaofei He | Zhou Zhao | Lijun Zhang | Xiaofei He | Yueting Zhuang | Lijun Zhang | Deng Cai | Zhou Zhao | Wilfred Ng | W. Ng
[1] Jing Liu,et al. Unsupervised Feature Selection Using Nonnegative Spectral Analysis , 2012, AAAI.
[2] Jian Pei,et al. How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach , 2014, SDM.
[3] Xuelong Li,et al. General Averaged Divergence Analysis , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[4] Wei Liu,et al. Transductive Component Analysis , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[5] Jing Liu,et al. Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection , 2014, IEEE Transactions on Knowledge and Data Engineering.
[6] Huan Liu,et al. Unsupervised feature selection for linked social media data , 2012, KDD.
[7] Huan Liu,et al. Discriminant Analysis for Unsupervised Feature Selection , 2014, SDM.
[8] Deng Cai,et al. Laplacian Score for Feature Selection , 2005, NIPS.
[9] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[10] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[11] Huan Liu,et al. Semi-supervised Feature Selection via Spectral Analysis , 2007, SDM.
[12] András Frank,et al. On Kuhn's Hungarian Method—A tribute from Hungary , 2005 .
[13] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[14] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[15] Huan Liu,et al. Unsupervised Feature Selection for Multi-View Data in Social Media , 2013, SDM.
[16] J. Rodgers,et al. Thirteen ways to look at the correlation coefficient , 1988 .
[17] Wei-Ying Ma,et al. An Evaluation on Feature Selection for Text Clustering , 2003, ICML.
[18] Deng Cai,et al. Unsupervised feature selection for multi-cluster data , 2010, KDD.
[19] Huan Liu,et al. Spectral feature selection for supervised and unsupervised learning , 2007, ICML '07.
[20] Feiping Nie,et al. Unsupervised maximum margin feature selection via L2,1-norm minimization , 2012, Neural Computing and Applications.
[21] Lei Wang,et al. Efficient Spectral Feature Selection with Minimum Redundancy , 2010, AAAI.
[22] Lei Wang,et al. On Similarity Preserving Feature Selection , 2013, IEEE Transactions on Knowledge and Data Engineering.
[23] Rong Jin,et al. Online Feature Selection and Its Applications , 2014, IEEE Transactions on Knowledge and Data Engineering.
[24] Carla E. Brodley,et al. Feature Subset Selection and Order Identification for Unsupervised Learning , 2000, ICML.
[25] Philip S. Yu,et al. Dual active feature and sample selection for graph classification , 2011, KDD.
[26] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[27] Jinbo Bi,et al. Active learning via transductive experimental design , 2006, ICML.
[28] Ying Cui,et al. Convex Principal Feature Selection , 2010, SDM.
[29] C. A. Murthy,et al. Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Dawei Song,et al. Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection , 2010, IEEE Transactions on Knowledge and Data Engineering.
[31] Fei Wang,et al. FeaFiner: biomarker identification from medical data through feature generalization and selection , 2013, KDD.
[32] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[33] Qinbao Song,et al. A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data , 2013, IEEE Transactions on Knowledge and Data Engineering.
[34] David G. Stork,et al. Pattern Classification , 1973 .
[35] Lior Wolf,et al. Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[36] Nizar Bouguila,et al. Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference , 2013, IEEE Transactions on Knowledge and Data Engineering.
[37] Mohamed S. Kamel,et al. An Efficient Greedy Method for Unsupervised Feature Selection , 2011, 2011 IEEE 11th International Conference on Data Mining.
[38] Charles A. Micchelli,et al. Maximum entropy and maximum likelihood criteria for feature selection from multivariate data , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).
[39] Hujun Bao,et al. A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[41] Carla E. Brodley,et al. Feature Selection for Unsupervised Learning , 2004, J. Mach. Learn. Res..
[42] Nizar Bouguila,et al. Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data , 2007, NIPS.
[43] Feiping Nie,et al. Trace Ratio Criterion for Feature Selection , 2008, AAAI.
[44] Xuelong Li,et al. Deterministic Column-Based Matrix Decomposition , 2010, IEEE Transactions on Knowledge and Data Engineering.
[45] Haim Schweitzer,et al. Pass-efficient unsupervised feature selection , 2013, NIPS.
[46] ChengXiang Zhai,et al. Robust Unsupervised Feature Selection , 2013, IJCAI.
[47] Jiye Liang,et al. Ieee Transactions on Knowledge and Data Engineering 1 a Group Incremental Approach to Feature Selection Applying Rough Set Technique , 2022 .
[48] Xuan Li,et al. Local and Global Discriminative Learning for Unsupervised Feature Selection , 2013, 2013 IEEE 13th International Conference on Data Mining.
[49] Jieping Ye,et al. Feature grouping and selection over an undirected graph , 2012, KDD.
[50] Michael I. Jordan,et al. A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection , 2011, ICML.
[51] Xiaojun Wu,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Fei Wang,et al. Unsupervised Maximum Margin Feature Selection with manifold regularization , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Huan Liu,et al. CoSelect: Feature Selection with Instance Selection for Social Media Data , 2013, SDM.
[54] Feiping Nie,et al. Feature Selection at the Discrete Limit , 2014, AAAI.
[55] Jidong Zhao,et al. Locality sensitive semi-supervised feature selection , 2008, Neurocomputing.