Learning distance functions for image retrieval
暂无分享,去创建一个
[1] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[2] David G. Lowe,et al. Similarity Metric Learning for a Variable-Kernel Classifier , 1995, Neural Computation.
[3] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.
[4] Ramin Zabih,et al. Comparing images using color coherence vectors , 1997, MULTIMEDIA '96.
[5] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[6] David J. Kriegman,et al. From few to many: generative models for recognition under variable pose and illumination , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[7] Ingemar J. Cox,et al. The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments , 2000, IEEE Trans. Image Process..
[8] Christophe Ambroise,et al. Boosting Mixture Models for Semi-supervised Learning , 2001, ICANN.
[9] Misha Pavel,et al. Adjustment Learning and Relevant Component Analysis , 2002, ECCV.
[10] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[11] Tomer Hertz,et al. Learning Distance Functions using Equivalence Relations , 2003, ICML.
[12] Daphna Weinshall,et al. Enhancing image and video retrieval: learning via equivalence constraints , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[13] A. Webb,et al. Introduction to Statistical Pattern Recognition , 2003 .
[14] Paul A. Viola,et al. Boosting Image Retrieval , 2004, International Journal of Computer Vision.
[15] Pavel Pudil,et al. Introduction to Statistical Pattern Recognition , 2006 .