Special Issue "Information Geometry" in Entropy link Deadline: 31 March 2014


Samek et al., Divergence-based Framework for Common Spatial Patterns Algorithms, IEEE Rev Biomed Eng, 2014
Chen et al., Robust independent component analysis via minimum gamma-divergence estimation, IEEE J of Selected Topics in Signal Proc, 2013
Zhang, Nonparametric Information Geometry: From Divergence Function to Referential-Representational Biduality on Statistical Manifolds, Entropy, 2013
Samek et al., Robust Spatial Filtering with Beta Divergence, NIPS, 2013
Kanamori and Ohara, A Bregman Extension of quasi-Newton updates I: An Information Geometrical framework, J Optim Methods & Software, 2013
Kanamori and Ohara, A Bregman Extension of quasi-Newton updates II: Analysis of robustness properties, J Comp and Appl Math, 2013
Arvaneh et al., Optimizing spatial filters by minimizing within-class dissimilarities in electroencephalogram based brain-computer interface, IEEE Trans Neural Netw Learn Syst, 2013
Wang, Harmonic mean of kullback-leibler divergences for optimizing multi-class eeg spatio-temporal filters, Neural Proc Let, 2012
Févotte and Idier, Algorithms for nonnegative matrix factorization with the β-divergence, Neural Comp, 2011
Kawanabe et al., An information geometrical view of stationary subspace analysis, ICANN, 2011
Liu et al., Total Bregman divergence and its applications to shape retrieval, IEEE CVPR, 2010
Cichocki and Amari, Families of alpha- beta- and gamma- divergences: Flexible and robust measures of similarities, Entropy, 2010
Amari and Cichocki, Information geometry of divergence functions, Bulletin of the Polish Academy of Sciences, 2010
Mollah et al., Robust extraction of local structures by the minimum beta-divergence method, Neural Networks, 2010
Eguchi and Kato, Entropy and divergence associated with power function and the statistical application, Entropy, 2010
Amari, Divergence, Optimization and Geometry, Neural Inf Proc, LNCS, 2009
Wu et al., Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering, NIPS, 2009
von Bünau et al., Finding Stationary Subspaces in Multivariate Time Series, Phys Rev Let, 2009
Nock and Nielsen, Bregman Divergences and Surrogates for Learning, IEEE PAMI, 2009
Huang et al., Robust kernel principal component analysis, Neural Comp, 2009
Frigyik et al., Functional Bregman Divergence and Bayesian Estimation of Distributions, IEEE Trans Information Theory, 2008
Davis et al., Information-theoretic metric learning, ICML, 2007
Mollah et al., Exploring latent structure of mixture ICA models by the minimum beta-divergence method, Neural Comp, 2006
Eguchi and Copas, Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma, J Multivariate Analysis, 2006
Bar-Hillel et al., Learning a Mahalanobis metric from equivalence constraints, J Mach Learn Res, 2005
Banerjee et al., Clustering with Bregman divergences, J Mach Learn Res, 2005
Higuchi and Eguchi, Robust principal component analysis with adaptive selection for tuning parameters, J Mach Learn Res, 2004
Murata et al., Information geometry of u-boost and bregman divergence, Neural Comp, 2004
Mihoko and Eguchi, Robust blind source separation by beta divergence, Neural Comp, 2002
Xing et al., Distance metric learning, with application to clustering with side-information, NIPS, 2002
Amari et al., Methods of information geometry, American Mathematical Society, 2000


Divergence framework for Common Spatial Patterns Algorithms MATLAB code

Data Sets

Online Materials
Computational Information Geometry Wonderland
Upcoming conferences in algebraic geometry
Information Geometry and Its Applications (Talk)
Information Geometry: Duality, Convexity and Divergences (Talk)
Information-theoretic metric learning (Talk)
Questions, Suggestions, Comments ?