Statistical shape analysis: clustering, learning, and testing
暂无分享,去创建一个
Anuj Srivastava | Xiuwen Liu | Shantanu H. Joshi | Washington Mio | Anuj Srivastava | Xiuwen Liu | W. Mio
[1] Milan Sonka,et al. Learning Shape Models from Examples Using Automatic Shape Clustering and Procrustes Analysis , 1999, IPMI.
[2] Anuj Srivastava,et al. Analysis of planar shapes using geodesic paths on shape spaces , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Hemant D. Tagare,et al. Non-Rigid Shape Comparison of Plane Curves in Images , 2004, Journal of Mathematical Imaging and Vision.
[4] Timothy F. Cootes,et al. Building optimal 2D statistical shape models , 2003, Image Vis. Comput..
[5] Anuj Srivastava,et al. Elastic-string models for representation and analysis of planar shapes , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[6] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[7] John P. Eakins,et al. ARTISAN: a shape retrieval system based on boundary family indexing , 1996, Electronic Imaging.
[8] K. Mardia,et al. ‘Shape, Procrustes tangent projections and bilateral symmetry’ , 2001 .
[9] H. Karcher. Riemannian center of mass and mollifier smoothing , 1977 .
[10] Donald E. Brown,et al. A practical application of simulated annealing to clustering , 1990, Pattern Recognit..
[11] Anuj Srivastava,et al. Probability Models for Clutter in Natural Images , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[12] C. Small. The statistical theory of shape , 1996 .
[13] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[14] Anil K. Jain,et al. Unsupervised Learning of Finite Mixture Models , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Josef Kittler,et al. Efficient and Robust Retrieval by Shape Content through Curvature Scale Space , 1998, Image Databases and Multi-Media Search.
[16] Christian P. Robert,et al. Monte Carlo Statistical Methods (Springer Texts in Statistics) , 2005 .
[17] Anil K. Jain,et al. Automatic Construction of 2D Shape Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[19] Hoon Kim,et al. Monte Carlo Statistical Methods , 2000, Technometrics.
[20] U. Grenander,et al. Computational anatomy: an emerging discipline , 1998 .
[21] D. Kendall,et al. The Riemannian Structure of Euclidean Shape Spaces: A Novel Environment for Statistics , 1993 .
[23] S. Ullman. High-Level Vision: Object Recognition and Visual Cognition , 1996 .
[24] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[25] Asger Hobolth,et al. On the Relation between Edge and Vertex Modelling in Shape Analysis , 2002 .
[26] Joachim M. Buhmann,et al. Pairwise Data Clustering by Deterministic Annealing , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[27] Anuj Srivastava,et al. Learning and Bayesian Shape Extraction for Object Recognition , 2004, ECCV.
[28] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Stefano Soatto,et al. Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images , 2003, International Journal of Computer Vision.
[30] Guillermo Sapiro,et al. Dynamic Shapes Average , 2003 .
[31] Michael I. Miller,et al. Group Actions, Homeomorphisms, and Matching: A General Framework , 2004, International Journal of Computer Vision.
[32] K. Rose. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems , 1998, Proc. IEEE.
[33] Farzin Mokhtarian,et al. Silhouette-Based Isolated Object Recognition through Curvature Scale Space , 1995, IEEE Trans. Pattern Anal. Mach. Intell..