Spectral rounding and image segmentation
暂无分享,去创建一个
[1] M. Fiedler. Algebraic connectivity of graphs , 1973 .
[2] Jianbo Shi,et al. Grouping with Bias , 2001, NIPS.
[3] R. Khandekar,et al. Graph partitioning using single commodity flows , 2006, STOC 2006.
[4] R. Zabih,et al. Spatially coherent clustering using graph cuts , 2004, CVPR 2004.
[5] Jitendra Malik,et al. Contour and Texture Analysis for Image Segmentation , 2001, International Journal of Computer Vision.
[6] Satish Rao,et al. Expander flows, geometric embeddings and graph partitioning , 2004, STOC '04.
[7] Robert Tibshirani,et al. Cluster Validation by Prediction Strength , 2005 .
[8] Ronen Basri,et al. Fast multiscale image segmentation , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[9] Jon M. Kleinberg,et al. An Impossibility Theorem for Clustering , 2002, NIPS.
[10] 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.
[11] Zhuowen Tu,et al. Image Parsing: Unifying Segmentation, Detection, and Recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[12] Marina Meila,et al. Comparing clusterings: an axiomatic view , 2005, ICML.
[13] N. Higham. LINEAR ALGEBRA (Pure and Applied Mathematics) , 1999 .
[14] Tony F. Chan,et al. Active contours without edges , 2001, IEEE Trans. Image Process..
[15] Joachim M. Buhmann,et al. Stability-Based Model Selection , 2002, NIPS.
[16] Zhuowen Tu,et al. Image Segmentation by Data-Driven Markov Chain Monte Carlo , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[18] Stanley Osher,et al. Level Set Methods , 2003 .
[19] Joachim M. Buhmann,et al. Model Order Selection and Cue Combination for Image Segmentation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[20] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[21] Olga Veksler,et al. Image segmentation by nested cuts , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[22] Robert T. Collins,et al. Multilevel Spectral Partitioning for Efficient Image Segmentation and Tracking , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[23] Olga Veksler,et al. Markov random fields with efficient approximations , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[24] Rachid Deriche,et al. Geodesic active regions for supervised texture segmentation , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[25] Frank Thomson Leighton,et al. An approximate max-flow min-cut theorem for uniform multicommodity flow problems with applications to approximation algorithms , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[26] Jianbo Shi,et al. Multiclass spectral clustering , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[27] James Demmel,et al. Applied Numerical Linear Algebra , 1997 .
[28] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Zoubin Ghahramani,et al. Spectral Methods for Automatic Multiscale Data Clustering , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[30] Alexei A. Efros,et al. Putting Objects in Perspective , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[31] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[32] Adrian G. Bors,et al. Variational segmentation of color images , 2005, IEEE International Conference on Image Processing 2005.
[33] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics (Revised Edition) , 1999 .
[34] Mark Jerrum,et al. Approximating the Permanent , 1989, SIAM J. Comput..
[35] Stephen Guattery,et al. On the Quality of Spectral Separators , 1998, SIAM J. Matrix Anal. Appl..
[36] Shang-Hua Teng,et al. Spectral partitioning works: planar graphs and finite element meshes , 1996, Proceedings of 37th Conference on Foundations of Computer Science.
[37] Bojan Mohar,et al. Isoperimetric numbers of graphs , 1989, J. Comb. Theory, Ser. B.
[38] Sanjeev Arora,et al. Fast algorithms for approximate semidefinite programming using the multiplicative weights update method , 2005, 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05).
[39] Hiroshi Ishikawa,et al. Exact Optimization for Markov Random Fields with Convex Priors , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[41] Dorin Comaniciu,et al. Mean shift analysis and applications , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[42] Gary L. Miller,et al. Graph Partitioning by Spectral Rounding: Applications in Image Segmentation and Clustering , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[43] Shang-Hua Teng,et al. Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems , 2003, STOC '04.
[44] Larry Wasserman,et al. All of Statistics , 2004 .
[45] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Stan Z. Li,et al. Markov Random Field Modeling in Image Analysis , 2001, Computer Science Workbench.
[47] Jitendra Malik,et al. Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[48] Alexei A. Efros,et al. Geometric context from a single image , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[49] David P. Williamson,et al. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming , 1995, JACM.
[50] Henry Wolkowicz,et al. On Lagrangian Relaxation of Quadratic Matrix Constraints , 2000, SIAM J. Matrix Anal. Appl..
[51] Shimon Ullman,et al. Class-Specific, Top-Down Segmentation , 2002, ECCV.