On the eigenvectors of p-Laplacian
暂无分享,去创建一个
Feiping Nie | Chris H. Q. Ding | Heng Huang | Dijun Luo | C. Ding | Heng Huang | F. Nie | Dijun Luo
[1] Fan Chung,et al. Spectral Graph Theory , 1996 .
[2] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[4] Stephen Guattery,et al. On the Quality of Spectral Separators , 1998, SIAM J. Matrix Anal. Appl..
[5] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.
[6] W. Allegretto,et al. A Picone's identity for the p -Laplacian and applications , 1998 .
[7] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[9] Saïd Amghibech,et al. Eigenvalues of the Discrete p-Laplacian for Graphs , 2003, Ars Comb..
[10] Jirí Bouchala,et al. Resonance problems for p-Laplacian , 2003, Math. Comput. Simul..
[11] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[12] Mikhail Belkin,et al. Regularization and Semi-supervised Learning on Large Graphs , 2004, COLT.
[13] Chris H. Q. Ding,et al. A Probabilistic Approach for Optimizing Spectral Clustering , 2005, NIPS.
[14] Chris H. Q. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering , 2005, SDM.
[15] Ulrike von Luxburg,et al. From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians , 2005, COLT.
[16] Padhraic Smyth,et al. A Spectral Clustering Approach To Finding Communities in Graph , 2005, SDM.
[17] Michael I. Jordan,et al. Learning Spectral Clustering, With Application To Speech Separation , 2006, J. Mach. Learn. Res..
[18] Saïd Amghibech. Bounds for the largest p-Laplacian eigenvalue for graphs , 2006, Discret. Math..
[19] Edwin R. Hancock,et al. A Riemannian approach to graph embedding , 2007, Pattern Recognit..
[20] Pang-Ning Tan,et al. Recommendation via Query Centered Random Walk on K-Partite Graph , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[21] Hao Zhang,et al. A spectral approach to shape-based retrieval of articulated 3D models , 2007, Comput. Aided Des..
[22] Inderjit S. Dhillon,et al. Semi-supervised graph clustering: a kernel approach , 2005, Machine Learning.
[23] Ying Liu,et al. Analysis of correlated mutations in HIV-1 protease using spectral clustering , 2008, Bioinform..
[24] Guangliang Chen,et al. Spectral Curvature Clustering (SCC) , 2009, International Journal of Computer Vision.
[25] Matthias Hein,et al. Spectral clustering based on the graph p-Laplacian , 2009, ICML '09.
[26] Dustin Hillard,et al. A COLLABORATIVE FILTERING APPROACH TO SPONSORED SEARCH , 2009 .
[27] Tasos Anastasakos,et al. A collaborative filtering approach to ad recommendation using the query-ad click graph , 2009, CIKM.
[28] U. Feige,et al. Spectral Graph Theory , 2015 .