Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition
暂无分享,去创建一个
[1] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.
[2] Nicolas Le Roux,et al. Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering , 2003, NIPS.
[3] Stephen J. Wright. Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming , 1999, SIAM J. Optim..
[4] John Hallam,et al. IEEE International Joint Conference on Neural Networks , 2005 .
[5] Katya Scheinberg,et al. Efficient SVM Training Using Low-Rank Kernel Representations , 2002, J. Mach. Learn. Res..
[6] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.
[7] Gene H. Golub,et al. Matrix computations , 1983 .
[8] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[9] 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.
[10] 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.
[11] Michael I. Jordan,et al. Kernel independent component analysis , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[12] Johan A. K. Suykens,et al. Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Johan A. K. Suykens,et al. A support vector machine formulation to PCA analysis and its kernel version , 2003, IEEE Trans. Neural Networks.
[14] Johan A. K. Suykens,et al. Joint Conference on Neural Networks , Orlando , Florida , USA , August 12-17 , 2007 ICA through an LS-SVM based Kernel CCA Measure for Independence , 2007 .
[15] R. Shah,et al. Least Squares Support Vector Machines , 2022 .
[16] Jianbo Shi,et al. A Random Walks View of Spectral Segmentation , 2001, AISTATS.
[17] Michael I. Jordan,et al. Learning Spectral Clustering, With Application To Speech Separation , 2006, J. Mach. Learn. Res..
[18] Martine D. F. Schlag,et al. Spectral K-way ratio-cut partitioning and clustering , 1994, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[19] Christopher J. C. Burges,et al. Simplified Support Vector Decision Rules , 1996, ICML.
[20] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[21] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[22] Johan A. K. Suykens,et al. A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[23] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[24] Chris H. Q. Ding,et al. Linearized cluster assignment via spectral ordering , 2004, ICML.
[25] M. Fiedler. A property of eigenvectors of nonnegative symmetric matrices and its application to graph theory , 1975 .
[26] Johan A. K. Suykens,et al. A regularized kernel CCA contrast function for ICA , 2008, Neural Networks.
[27] U. Feige,et al. Spectral Graph Theory , 2015 .
[28] Michael I. Jordan,et al. Learning Spectral Clustering , 2003, NIPS.
[29] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[30] Bernhard Schölkopf,et al. Kernel Methods for Measuring Independence , 2005, J. Mach. Learn. Res..
[31] Gunnar Rätsch,et al. Input space versus feature space in kernel-based methods , 1999, IEEE Trans. Neural Networks.
[32] C. Ding,et al. Spectral relaxation models and structure analysis for K-way graph clustering and bi-clustering , 2001 .
[33] Andrew B. Kahng,et al. New spectral methods for ratio cut partitioning and clustering , 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..