Low-Rank Sparse Subspace for Spectral Clustering
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Shichao Zhang | Xiaofeng Zhu | Jilian Zhang | Yonggang Li | Yue Fang | Lifeng Yang | Xiaofeng Zhu | Shichao Zhang | Jilian Zhang | Yonggang Li | Lifeng Yang | Yue Fang
[1] Fang Chen,et al. Spectral clustering of high-dimensional data via Nonnegative Matrix Factorization , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[2] Ting Luo,et al. An Improved DBSCAN Algorithm to Detect Stops in Individual Trajectories , 2017, ISPRS Int. J. Geo Inf..
[3] Zi Huang,et al. Self-taught dimensionality reduction on the high-dimensional small-sized data , 2013, Pattern Recognit..
[4] Wotao Yin,et al. A feasible method for optimization with orthogonality constraints , 2013, Math. Program..
[5] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[6] Xiaofeng Zhu,et al. Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection , 2018, IEEE Transactions on Knowledge and Data Engineering.
[7] Longbing Cao,et al. A novel graph-based k-means for nonlinear manifold clustering and representative selection , 2014, Neurocomputing.
[8] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[9] Jörg Sander. Density-Based Clustering , 2017, Encyclopedia of Machine Learning and Data Mining.
[10] Feiping Nie,et al. Clustering and projected clustering with adaptive neighbors , 2014, KDD.
[11] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[12] Kristin J. Dana,et al. Modified balanced iterative reducing and clustering using hierarchies (m-BIRCH) for visual clustering , 2016, Pattern Analysis and Applications.
[13] Wenjun Zhou,et al. Spectral clustering of high-dimensional data exploiting sparse representation vectors , 2014, Neurocomputing.
[14] Michael J. Lyons,et al. Coding facial expressions with Gabor wavelets , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[15] Yong Yu,et al. Robust Recovery of Subspace Structures by Low-Rank Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Jitendra Malik,et al. Color- and texture-based image segmentation using EM and its application to content-based image retrieval , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[17] Zi Huang,et al. Sparse hashing for fast multimedia search , 2013, TOIS.
[18] Christoph Schnörr,et al. Spectral clustering of linear subspaces for motion segmentation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[19] Xiaofeng Zhu,et al. Dynamic graph learning for spectral feature selection , 2018, Multimedia Tools and Applications.
[20] K. Fan. On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations: II. , 1949, Proceedings of the National Academy of Sciences of the United States of America.
[21] Xiaofeng Zhu,et al. Unsupervised feature selection by self-paced learning regularization , 2020, Pattern Recognit. Lett..
[22] B. Mohar. THE LAPLACIAN SPECTRUM OF GRAPHS y , 1991 .
[23] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Dilip B. Kotak,et al. GRIDBSCAN: GRId Density-Based Spatial Clustering of Applications with Noise , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[25] Samuel Kaski,et al. Informative Discriminant Analysis , 2003, ICML.
[26] Timo Kohlberger,et al. Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes , 2011, MICCAI.
[27] D. B. Graham,et al. Characterising Virtual Eigensignatures for General Purpose Face Recognition , 1998 .
[28] Xiaofeng Zhu,et al. Graph self-representation method for unsupervised feature selection , 2017, Neurocomputing.
[29] Zi Huang,et al. Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis , 2012, Pattern Recognition.
[30] Hai Jin,et al. Color Image Segmentation Based on Mean Shift and Normalized Cuts , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[31] Jonathan J. Hull,et al. A Database for Handwritten Text Recognition Research , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Jianjiang Feng,et al. Smooth Representation Clustering , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Dinggang Shen,et al. A novel relational regularization feature selection method for joint regression and classification in AD diagnosis , 2017, Medical Image Anal..
[34] Xiaofeng Zhu,et al. Efficient kNN Classification With Different Numbers of Nearest Neighbors , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[35] Xuelong Li,et al. Graph PCA Hashing for Similarity Search , 2017, IEEE Transactions on Multimedia.
[36] Andrew B. Kahng,et al. New spectral methods for ratio cut partitioning and clustering , 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[37] R. Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications. , 2013, IEEE transactions on pattern analysis and machine intelligence.
[38] Jong Won Yun,et al. Time-course microarrays reveal early activation of the immune transcriptome and adipokine dysregulation leads to fibrosis in visceral adipose depots during diet-induced obesity , 2012, BMC Genomics.
[39] Xiaofeng Zhu,et al. Unsupervised feature selection via local structure learning and sparse learning , 2017, Multimedia Tools and Applications.
[40] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Xuelong Li,et al. Block-Row Sparse Multiview Multilabel Learning for Image Classification , 2016, IEEE Transactions on Cybernetics.
[42] Xuelong Li,et al. Learning k for kNN Classification , 2017, ACM Trans. Intell. Syst. Technol..
[43] Renfa Li,et al. EECR: Energy Efficient Clustering Using Representatives for Wireless Sensor Networks , 2015 .
[44] K. Fan. On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations I. , 1949, Proceedings of the National Academy of Sciences of the United States of America.
[45] Claire Cardie,et al. Constrained K-means Clustering with Background Knowledge , 2001, ICML.
[46] David Zhang,et al. A survey of graph theoretical approaches to image segmentation , 2013, Pattern Recognit..
[47] Klemens Böhm,et al. Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering , 2015, IEEE Transactions on Knowledge and Data Engineering.
[48] Feiping Nie,et al. A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering , 2015, IJCAI.
[49] Zi Huang,et al. A Sparse Embedding and Least Variance Encoding Approach to Hashing , 2014, IEEE Transactions on Image Processing.
[50] Feiping Nie,et al. The Constrained Laplacian Rank Algorithm for Graph-Based Clustering , 2016, AAAI.
[51] Ashish Sharma,et al. An Enhanced Density Based Spatial Clustering of Applications with Noise , 2009, 2009 IEEE International Advance Computing Conference.
[52] Shuicheng Yan,et al. Robust and Efficient Subspace Segmentation via Least Squares Regression , 2012, ECCV.
[53] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[54] Hans-Peter Kriegel,et al. Density‐based clustering , 2011, WIREs Data Mining Knowl. Discov..
[55] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[56] I. Daubechies,et al. Iteratively reweighted least squares minimization for sparse recovery , 2008, 0807.0575.