Non-Local Manifold Tangent Learning
暂无分享,去创建一个
[1] Yann LeCun,et al. Efficient Pattern Recognition Using a New Transformation Distance , 1992, NIPS.
[2] Geoffrey E. Hinton,et al. The EM algorithm for mixtures of factor analyzers , 1996 .
[3] Michael E. Tipping,et al. Mixtures of Principal Component Analysers , 1997 .
[4] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[5] Rajesh P. N. Rao,et al. Learning Lie Groups for Invariant Visual Perception , 1998, NIPS.
[6] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[7] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[8] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[9] Tommi S. Jaakkola,et al. Partially labeled classification with Markov random walks , 2001, NIPS.
[10] Mikhail Belkin,et al. Using manifold structure for partially labelled classification , 2002, NIPS 2002.
[11] Pascal Vincent,et al. Manifold Parzen Windows , 2002, NIPS.
[12] Bernhard Schölkopf,et al. Cluster Kernels for Semi-Supervised Learning , 2002, NIPS.
[13] Yee Whye Teh,et al. Automatic Alignment of Local Representations , 2002, NIPS.
[14] Thomas G. Dietterich,et al. Editors. Advances in Neural Information Processing Systems , 2002 .
[15] Matthew Brand,et al. Charting a Manifold , 2002, NIPS.
[16] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[17] Nicolas Le Roux,et al. Learning Eigenfunctions Links Spectral Embedding and Kernel PCA , 2004, Neural Computation.