Improving image retrieval performance by inter-query learning with one-class support vector machines
暂无分享,去创建一个
[1] Bir Bhanu,et al. Probabilistic Feature Relevance Learning for Content-Based Image Retrieval , 1999, Comput. Vis. Image Underst..
[2] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[3] Kenneth G. Manton,et al. Fuzzy Cluster Analysis , 2005 .
[4] Thomas S. Huang,et al. Content-based image retrieval with relevance feedback in MARS , 1997, Proceedings of International Conference on Image Processing.
[5] Bir Bhanu,et al. Improving retrieval performance by long-term relevance information , 2002, Object recognition supported by user interaction for service robots.
[6] Douglas R. Heisterkamp. Building a latent semantic index of an image database from patterns of relevance feedback , 2002, Object recognition supported by user interaction for service robots.
[7] Mingjing Li,et al. Statistical correlation analysis in image retrieval , 2002, Pattern Recognit..
[8] T. Landauer,et al. Indexing by Latent Semantic Analysis , 1990 .
[9] Marko Balabanovic,et al. Exploring Versus Exploiting when Learning User Models for Text Recommendation , 2004, User Modeling and User-Adapted Interaction.
[10] Christos Faloutsos,et al. QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.
[11] Edward Y. Chang,et al. Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.
[12] Qi Tian,et al. Incorporate support vector machines to content-based image retrieval with relevance feedback , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[13] Thomas S. Huang,et al. One-class SVM for learning in image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[14] Bernhard Schölkopf,et al. SV Estimation of a Distribution's Support , 1999, NIPS 1999.
[15] J. C. Peters,et al. Fuzzy cluster analysis--a new method to predict future cardiac events in patients with positive stress tests. , 1998, Japanese circulation journal.
[16] Bernhard Schölkopf,et al. Support Vector Method for Novelty Detection , 1999, NIPS.
[17] Thomas S. Huang,et al. Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..
[18] Pavel Zezula,et al. M-tree: An Efficient Access Method for Similarity Search in Metric Spaces , 1997, VLDB.
[19] Bikramjit Banerjee,et al. Kernel Index for Relevance feedback Retrieval , 2002, International Conference on Fuzzy Systems and Knowledge Discovery.
[20] David M. J. Tax,et al. One-class classification , 2001 .
[21] K. Wakimoto,et al. Efficient and Effective Querying by Image Content , 1994 .