Unlabeled data improvesword prediction
暂无分享,去创建一个
Ali Farhadi | David A. Forsyth | Nicolas Loeff | Ian Endres | Ali Farhadi | Ian Endres | D. Forsyth | Nicolas Loeff
[1] Vikas Sindhwani,et al. The Geometric Basis of Semi-Supervised Learning , 2006, Semi-Supervised Learning.
[2] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[3] Jorma Laaksonen,et al. Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features , 2007, Signal Process. Image Commun..
[4] Adil Alpkocak,et al. Combining textual and visual clusters for semantic image retrieval and auto-annotation , 2005 .
[5] Andrew Zisserman,et al. A Statistical Approach to Texture Classification from Single Images , 2004, International Journal of Computer Vision.
[6] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[7] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Trevor Darrell,et al. Learning Visual Representations using Images with Captions , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[9] R. Manmatha,et al. An Inference Network Approach to Image Retrieval , 2004, CIVR.
[10] Xiaojin Zhu,et al. Semi-Supervised Learning Literature Survey , 2005 .
[11] R. Manmatha,et al. Multiple Bernoulli relevance models for image and video annotation , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[12] R. Manmatha,et al. A Model for Learning the Semantics of Pictures , 2003, NIPS.
[13] Nathan Srebro,et al. Fast maximum margin matrix factorization for collaborative prediction , 2005, ICML.
[14] Ali Farhadi,et al. Scene Discovery by Matrix Factorization , 2008, ECCV.
[15] R. Manmatha,et al. Automatic image annotation and retrieval using cross-media relevance models , 2003, SIGIR.
[16] Jason Weston,et al. Large-scale kernel machines , 2007 .
[17] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[18] David A. Forsyth,et al. ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning , 2008, ICML '08.
[19] Alexander Zien,et al. Semi-Supervised Classification by Low Density Separation , 2005, AISTATS.
[20] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .
[21] Tong Zhang,et al. A High-Performance Semi-Supervised Learning Method for Text Chunking , 2005, ACL.
[22] Bernhard Schölkopf,et al. Cluster Kernels for Semi-Supervised Learning , 2002, NIPS.
[23] Shimon Ullman,et al. Uncovering shared structures in multiclass classification , 2007, ICML '07.
[24] David A. Forsyth,et al. Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary , 2002, ECCV.
[25] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[26] Gustavo Carneiro,et al. Formulating semantic image annotation as a supervised learning problem , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[27] Stefan M. Rüger,et al. Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation , 2005, CIVR.
[28] Vladimir Pavlovic,et al. A New Baseline for Image Annotation , 2008, ECCV.
[29] Lawrence Carin,et al. Semi-Supervised Multitask Learning , 2007, NIPS.
[30] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[31] R. Manmatha,et al. Using Maximum Entropy for Automatic Image Annotation , 2004, CIVR.
[32] Y. Mori,et al. Image-to-word transformation based on dividing and vector quantizing images with words , 1999 .