Diffusion Kernels on Statistical Manifolds (2004)

by John Lafferty , Guy Lebanon
Citations:63 - 5 self

Documents Related by Co-Citation

134 Diffusion Kernels on Graphs and Other Discrete Input Spaces – Risi Imre Kondor, John Lafferty - 2002
2222 Authoritative Sources in a Hyperlinked Environment – Jon M. Kleinberg - 1999
194 Methods of information geometry – S Amari, H Nagaoka - 2000
61 Geometrical Foundations of Asymptotic Inference – R E Kass, P W Vos - 1997
1229 A Global Geometric Framework for Nonlinear Dimensionality Reduction – Joshua B Tenenbaum, Vin de Silva, John C Langford
1157 Nonlinear dimensionality reduction by locally linear embedding – Sam T. Roweis, Lawrence K. Saul - 2000
519 Laplacian Eigenmaps for Dimensionality Reduction and Data Representation – Mikhail Belkin, Partha Niyogi - 2003
5 Information geometry, the embedding principle, and document classification – Guy Lebanon - 2005
3 Learning on statistical manifolds for clustering and visualization – Kevin M. Carter, Raviv Raich, Alfred O. Hero Iii - 2007
311 Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering – Mikhail Belkin, Partha Niyogi - 2001
236 Viewing Morphology as an Inference Process – Robert Krovetz - 1993
69 On the Use of Spreading Activation Methods in Automatic Information Retrieval – Gerard Salton, Chris Buckley - 1988
1512 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003
116 Semi-supervised learning on Riemannian manifolds – Mikhail Belkin, Partha Niyogi - 2004
1928 Modern Information Retrieval – Ricardo Baeza-Yates, Berthier Ribeiro-Neto - 1999
1429 The Elements of Statistical Learning – T Hastie, R Tibshirani, J H Friedman - 2001
3 Ai seminar – T Dietterich - 2002
7 Axiomatic geometry of conditional models – G Lebanon - 2005
35 Hilbertian Metrics and Positive Definite Kernels on Probability – Measures Matthias Hein, Matthias Hein, Olivier Bousquet - 2005