Generalised blurring mean-shift algorithms for nonparametric clustering

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Carreira Perpiñán, Miguel Á ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; COMPUTATIONAL GEOMETRY; COMPUTER GRAPHICS; COMPUTER PROGRAMMING LANGUAGES; COMPUTER VISION; FEATURE EXTRACTION; FLOW OF SOLIDS; IMAGE PROCESSING; IMAGE SEGMENTATION; ITERATIVE METHODS; PARAMETER ESTIMATION; PATTERN RECOGNITION; TELECOMMUNICATION SYSTEMS; TRELLIS CODES;

CLUSTERINGS; CONVERGENCE RATES; DATA SETS; EIGENVALUES; GAUSSIAN; GAUSSIAN CLUSTERS; HIGHER-ORDER; MEAN SHIFTS; MEAN-SHIFT ALGORITHMS; NON-PARAMETRIC; NUMBER OF CLUSTERS; RUN-TIME; SPECTRAL CLUSTERING; STEP-SIZE; SUBLINEAR; SURFACE SMOOTHING;

CLUSTERING ALGORITHMS;

EID: 51949116467     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587435     Document Type: Conference Paper

References (13)

1. M. Á. Carreira-Perpiñán. Fast nonparametric clustering with Gaussian blurring mean-shift. In ICML, 2006.
2. M. Á. Carreira-Perpiñán. Gaussian mean shift is an EM algorithm. IEEE Trans. PAMI, 29(5):767-776, May 2007.
3. Y. Cheng. Mean shift, mode seeking, and clustering. IEEE Trans. PAMI, 17(8):790-799, Aug. 1995.
4. E. Choi and P. Hall. Data sharpening as a prelude to density estimation. Biometrika, 86(4):941-947, Dec. 1999.
5. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. PAMI, 2002.
6. M. Desbrun, M. Meyer, P. Schröder, and A. H. Barr. Implicit fairing of irregular meshes using diffusion and curvature flow. In SIGGRAPH 1999, pp. 317-324, 1999.
7. K. Fukunaga and L. D. Hostetler. The estimation of the gradient of a density function, with application in pattern recognition. IEEE Trans. Info. Theory, 21(1):32-40, 1975.
8. G. H. Golub and C. F. van Loan. Matrix Computations. Johns Hopkins University Press, Baltimore, third edition, 1996.
9. M. Hein and M. Maier. Manifold denoising. In NIPS 19, pages 561-568, 2007.
10. K. Ho-Le. Finite element mesh generation methods: A review and classification. Computer-Aided Design, 20(1), 1988.
11. J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. PAMI, 22(8):888-905, Aug. 2000.
12. G. Taubin. A signal processing approach to fair surface design. In SIGGRAPH 1995, pages 351-358, 1995.
13. G. Taubin. Geometric signal processing on polygonal meshes. In Eurographics'2000: State of the Art Reports, 2000.