Sparse and Low-Rank Models for Visual Domain Adaptation
暂无分享,去创建一个
[1] Rama Chellappa,et al. Information-Theoretic Dictionary Learning for Image Classification , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] David W. Jacobs,et al. Generalized Multiview Analysis: A discriminative latent space , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Ting Wang,et al. Kernel Sparse Representation-Based Classifier , 2012, IEEE Transactions on Signal Processing.
[4] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Baoxin Li,et al. Discriminative K-SVD for dictionary learning in face recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[6] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[7] ChengXiang Zhai,et al. Domain Adaptation in Natural Language Processing , 2008 .
[8] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[9] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[10] Witold Pedrycz,et al. Face recognition: A study in information fusion using fuzzy integral , 2005, Pattern Recognit. Lett..
[11] H. Shimodaira,et al. Improving predictive inference under covariate shift by weighting the log-likelihood function , 2000 .
[12] Kjersti Engan,et al. Method of optimal directions for frame design , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).