Bengio Y et al. (2004). Learning eigenfunctions links spectral embedding and kernel PCA. Neural computation. 16 [PubMed]
Bengio Y, Larochelle H. (2006). Non-local manifold Parzen windows Advances in neural information processing systems. 18
Brand M. (2003). Charting a manifold Advances in neural information processing systems. 15
Ghahramani Z, Zhu X, Lafferty J. (2003). Semi-supervised learning using gaussian fields and harmonic functions Proc 20th Intl Conf Mach Learn.
Hastie T, Simard P. (1998). Metrics and models for handwritten character recognition Statistical Sci. 13
Hastie T, Simard P, Sackinger E. (1995). Learning prototype models for tangent distance Advances in neural information processing systems. 7
Hinton G, Ghahramani Z. (1996). The EM algorithm for mixtures of factor analyzers Tech Rep CRG-TR-96-1 Toronto Department of Computer Science.
Jaakkola T, Szummer M. (2002). Partially labeled classification with Markov random walks Advances in neural information processing systems. 14
Lecun Y, Simard P, Denker J. (1993). Efficient pattern recognition using a new transformation distance Advances in neural information processing systems. 5
Niyogi P, Belkin M. (2003). Using manifold structure for partially labeled classification Advances in neural information processing systems. 15
Roweis S, Saul L. (2002). Think globally, fit locally: Unsupervised learning of low dimensional manifolds J Mach Learn Res. 4
Roweis S, Teh YW. (2003). Automatic alignment of local representations Advances in neural information processing systems. 15
Roweis ST, Saul LK. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science (New York, N.Y.). 290 [PubMed]
Ruderman DL, Rao RPN. (1999). Learning Lie groups for invariant visual perception Advances in neural information processing systems. 11
Scholkopf B, Smola A, Muller KR. (1998). Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10
Scholkopf B, Weston J, Chapelle O. (2003). Cluster kernels for semi-supervised learning Advances In Neural Information Processing Systems. 15
Tenenbaum JB, de Silva V, Langford JC. (2000). A global geometric framework for nonlinear dimensionality reduction. Science (New York, N.Y.). 290 [PubMed]
Tipping ME, Bishop CM. (1999). Mixtures of probabilistic principal component analyzers. Neural computation. 11 [PubMed]
Vincent P, Bengio Y. (2003). Manifold Parzen windows Advances in neural information processing systems. 15