Discriminative Clustering by Regularized Information Maximization
暂无分享,去创建一个
[1] L. Hubert,et al. Comparing partitions , 1985 .
[2] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[3] David J. C. MacKay,et al. Unsupervised Classifiers, Mutual Information and 'Phantom Targets' , 1991, NIPS.
[4] Tommi S. Jaakkola,et al. Maximum Entropy Discrimination , 1999, NIPS.
[5] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[6] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[7] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[8] Adrian Corduneanu,et al. On Information Regularization , 2002, UAI.
[9] P. Dobson,et al. Distinguishing enzyme structures from non-enzymes without alignments. , 2003, Journal of molecular biology.
[10] Yoshua Bengio,et al. Semi-supervised Learning by Entropy Minimization , 2004, CAP.
[11] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2004 .
[12] W. Bialek,et al. Information-based clustering. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[13] Yixin Chen,et al. CLUE: cluster-based retrieval of images by unsupervised learning , 2005, IEEE Transactions on Image Processing.
[14] Alexander Zien,et al. Semi-Supervised Classification by Low Density Separation , 2005, AISTATS.
[15] Dale Schuurmans,et al. Unsupervised and Semi-Supervised Multi-Class Support Vector Machines , 2005, AAAI.
[16] George Karypis,et al. Comparison of descriptor spaces for chemical compound retrieval and classification , 2006, Sixth International Conference on Data Mining (ICDM'06).
[17] Yee Whye Teh,et al. A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes , 2006, ACL.
[18] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[19] G. Karypis,et al. Acyclic Subgraph Based Descriptor Spaces for Chemical Compound Retrieval and Classification , 2006 .
[20] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[21] Zaïd Harchaoui,et al. DIFFRAC: a discriminative and flexible framework for clustering , 2007, NIPS.
[22] Le Song,et al. A dependence maximization view of clustering , 2007, ICML '07.
[23] Karsten M. Borgwardt,et al. Fast subtree kernels on graphs , 2009, NIPS.
[24] Ivor W. Tsang,et al. Maximum Margin Clustering Made Practical , 2009, IEEE Trans. Neural Networks.