Learning Context-Sensitive Shape Similarity by Graph Transduction
暂无分享,去创建一个
Zhuowen Tu | Wenyu Liu | Longin Jan Latecki | Xiang Bai | Xingwei Yang | Z. Tu | X. Bai | Xingwei Yang | Wenyu Liu
[1] Anuj Srivastava,et al. Statistical shape analysis: clustering, learning, and testing , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Joshua D. Schwartz,et al. Hierarchical Matching of Deformable Shapes , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Sethu Vijayakumar,et al. 2D Shape Classification and Retrieval , 2005, IJCAI.
[4] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[5] Noel E. O'Connor,et al. A multiscale representation method for nonrigid shapes with a single closed contour , 2004, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Anil K. Jain,et al. Shape-Based Retrieval: A Case Study With Trademark Image Databases , 1998, Pattern Recognit..
[7] Ali Shokoufandeh,et al. Shock Graphs and Shape Matching , 1998, International Journal of Computer Vision.
[8] Miroslaw Bober,et al. Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization , 2011, Computational Imaging and Vision.
[9] Mohammad Reza Daliri,et al. Robust symbolic representation for shape recognition and retrieval , 2008, Pattern Recognit..
[10] Nicolai Petkov,et al. Robustness of shape descriptors to incomplete contour representations , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[12] Mubarak Shah,et al. Shape matching and modeling using skeletal context , 2008, Pattern Recognit..
[13] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[14] Philip N. Klein,et al. Recognition of shapes by editing their shock graphs , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[16] Josef Kittler,et al. Efficient and Robust Retrieval by Shape Content through Curvature Scale Space , 1998, Image Databases and Multi-Media Search.
[17] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[18] Sethu Vijayakumar,et al. Hierarchical Procrustes Matching for Shape Retrieval , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[19] DaliriMohammad Reza,et al. Robust symbolic representation for shape recognition and retrieval , 2008 .
[20] Boaz J. Super. Learning Chance Probability Functions for Shape Retrieval or Classification , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[21] George Kollios,et al. BoostMap: A method for efficient approximate similarity rankings , 2004, CVPR 2004.
[22] Neil D. Lawrence,et al. Semi-supervised Learning via Gaussian Processes , 2004, NIPS.
[23] Ulrich Eckhardt,et al. Shape descriptors for non-rigid shapes with a single closed contour , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[24] Xiaobo Zhou,et al. Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[26] Eamonn J. Keogh,et al. Three Myths about Dynamic Time Warping Data Mining , 2005, SDM.
[27] Longin Jan Latecki,et al. Shape Similarity Measure Based on Correspondence of Visual Parts , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[28] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Philip N. Klein,et al. On Aligning Curves , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Nicolai Petkov,et al. Distance sets for shape filters and shape recognition , 2003, IEEE Trans. Image Process..
[31] Haibin Ling,et al. Shape Classification Using the Inner-Distance , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Tomer Hertz,et al. Learning distance functions for image retrieval , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[33] Matthias Hein,et al. Manifold Denoising , 2006, NIPS.
[34] Zhuowen Tu,et al. Improving Shape Retrieval by Learning Graph Transduction , 2008, ECCV.
[35] Pepe Siy,et al. Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching , 2005, Pattern Recognit..
[36] Boaz J. Super. Retrieval from Shape Databases Using Chance Probability Functions and Fixed Correspondence , 2006, Int. J. Pattern Recognit. Artif. Intell..
[37] Anand Rangarajan,et al. Shape L’Âne rouge: Sliding wavelets for indexing and retrieval , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Ronald Rosenfeld,et al. Semi-supervised learning with graphs , 2005 .
[39] Naif Alajlan,et al. Geometry-Based Image Retrieval in Binary Image Databases , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] LateckiLongin Jan,et al. Shape Similarity Measure Based on Correspondence of Visual Parts , 2000 .
[41] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[42] Helen C. Shen,et al. Semi-Supervised Classification Using Linear Neighborhood Propagation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[43] Hua Huang,et al. Probabilistic contour extraction using hierarchical shape representation , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[44] Bernhard Schölkopf,et al. Ranking on Data Manifolds , 2003, NIPS.
[45] Ronen Basri,et al. Shape representation and classification using the Poisson equation , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[46] Nicolai Petkov,et al. Contour detection based on nonclassical receptive field inhibition , 2003, IEEE Trans. Image Process..
[47] Ali Shokoufandeh,et al. Indexing hierarchical structures using graph spectra , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Longin Jan Latecki,et al. Path Similarity Skeleton Graph Matching , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Remco C. Veltkamp,et al. Efficient image retrieval through vantage objects , 1999, Pattern Recognition.
[50] Fred L. Bookstein,et al. Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[51] George Kollios,et al. BoostMap: A method for efficient approximate similarity rankings , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[52] Tomer Hertz,et al. Learning Distance Functions using Equivalence Relations , 2003, ICML.
[53] Whoi-Yul Kim,et al. Content-based trademark retrieval system using a visually salient feature , 1998, Image Vis. Comput..
[54] Zhuowen Tu,et al. Shape Matching and Recognition - Using Generative Models and Informative Features , 2004, ECCV.
[55] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[56] Nicu Sebe,et al. Distance Learning for Similarity Estimation , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[58] Arnold W. M. Smeulders,et al. Image Databases and Multi-Media Search , 1998, Image Databases and Multi-Media Search.
[59] Bernt Schiele,et al. Analyzing appearance and contour based methods for object categorization , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[60] Oskar Söderkvist,et al. Computer Vision Classification of Leaves from Swedish Trees , 2001 .
[61] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.