Shape-based image retrieval using support vector machines, Fourier descriptors and self-organizing maps

[1]  Ronald R. Yager,et al.  A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic , 2005, Inf. Sci..

[2]  Guojun Lu,et al.  Study and evaluation of different Fourier methods for image retrieval , 2005, Image Vis. Comput..

[3]  Remco C. Veltkamp,et al.  A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..

[4]  Philip N. Klein,et al.  Recognition of shapes by editing their shock graphs , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Christos Faloutsos,et al.  Efficient and effective Querying by Image Content , 1994, Journal of Intelligent Information Systems.

[6]  Chih-Jen Lin,et al.  Probability Estimates for Multi-class Classification by Pairwise Coupling , 2003, J. Mach. Learn. Res..

[7]  Guangyou Xu,et al.  Similarity measure learning for image retrieval using feature subspace analysis , 2003, Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003.

[8]  Ying-Hong Wang.  Image indexing and similarity retrieval based on spatial relationship model , 2003, Inf. Sci..

[9]  刘伟军,et al.  United moment invariants for shape discrimination , 2003 .

[10]  Thomas S. Huang,et al.  Relevance feedback in content-based image retrieval: some recent advances , 2002, Inf. Sci..

[11]  Sharlee Climer,et al.  Image database indexing using JPEG coefficients , 2002, Pattern Recognit..

[12]  Benjamin B. Kimia,et al.  Metric-based shape retrieval in large databases , 2002, Object recognition supported by user interaction for service robots.

[13]  Philip N. Klein,et al.  Shock-Based Indexing into Large Shape Databases , 2002, ECCV.

[14]  Chih-Jen Lin,et al.  A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.

[15]  Hirobumi Nishida.  Structural feature indexing for retrieval of partially visible shapes , 2002, Pattern Recognit..

[16]  Longin Jan Latecki,et al.  Application of planar shape comparison to object retrieval in image databases , 2002, Pattern Recognit..

[17]  Bo Zhang,et al.  Support vector machine learning for image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[18]  Edward Y. Chang,et al.  Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.

[19]  Remco C. Veltkamp,et al.  Shape matching: similarity measures and algorithms , 2001, Proceedings International Conference on Shape Modeling and Applications.

[20]  Simone Santini,et al.  Similarity Measures , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[22]  Ehud Rivlin,et al.  Local Invariants For Recognition , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Chaur-Chin Chen,et al.  Improved moment invariants for shape discrimination , 1993, Optics & Photonics.

[24]  William I. Grosky,et al.  Index-based object recognition in pictorial data management , 1990, Comput. Vis. Graph. Image Process..

[25]  Teuvo Kohonen,et al.  Self-organization and associative memory: 3rd edition , 1989 .

[26]  Rama Chellappa,et al.  Classification of Partial 2-D Shapes Using Fourier Descriptors , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.