Diffrac: a discriminative and flexible framework for clustering, Advances in Neural Information Processing Systems, 2007. ,
Learning spectral clustering, Advances in Neural Information Processing Systems 16, 2004. ,
Nonlocal manifold Parzen windows, Advances in Neural Information Processing Systems 18, pp.115-122, 2006. ,
In search of non- Gaussian components of a high-dimensional distribution, J. Mach. Learn. Res, vol.7, pp.247-282, 2006. ,
Convex analysis and nonlinear optimization, theory and examples, 2000. ,
Independent Component Analysis Based on Nonparametric Density Estimation, IEEE Transactions on Neural Networks, vol.15, issue.1, pp.55-65, 2004. ,
DOI : 10.1109/TNN.2003.820667
An alternative method of cross-validation for the smoothing of density estimates, Biometrika, vol.71, issue.2, pp.353-360, 1984. ,
DOI : 10.1093/biomet/71.2.353
Parallel Spectral Clustering in Distributed Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.3, pp.568-586, 2011. ,
DOI : 10.1109/TPAMI.2010.88
Consistent Cross-Validated Density Estimation, The Annals of Statistics, vol.11, issue.1, pp.25-38, 1983. ,
DOI : 10.1214/aos/1176346053
Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002. ,
DOI : 10.1109/34.1000236
Sparse multidimensional scaling using landmark points, Technology, pp.1-41, 2004. ,
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B (Methodological), vol.39, issue.1, pp.1-38, 1977. ,
On the choice of smoothing parameters for Parzen estimators of probability density functions. Computers, IEEE Transactions, issue.11, pp.251175-1179, 1976. ,
Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation, Scandinavian Journal of Statistics, vol.9, issue.3, pp.485-506, 2005. ,
DOI : 10.1016/S0167-9473(01)00053-6
Metric learning by collapsing classes, Advances in Neural Information Processing Systems, pp.451-458, 2006. ,
Neighbourhood components analysis, Advances in Neural Information Processing Systems 17, 2004. ,
Independent component analysis, 2001. ,
Maximum likelihood kernel density estimation: On the potential of convolution sieves, Computational Statistics & Data Analysis, vol.53, issue.10, pp.3726-3733, 2009. ,
DOI : 10.1016/j.csda.2009.03.019
On spectral clustering: Analysis and an algorithm, Advances in Neural Information Processing Systems 14, 2001. ,
Comparison of Data-Driven Bandwidth Selectors, Journal of the American Statistical Association, vol.9, issue.409, pp.66-72, 1990. ,
DOI : 10.1214/aoms/1177696810
On estimation of a probability density function and mode. The Annals of Mathematical Statistics, pp.1065-1076, 1962. ,
Remarks on Some Nonparametric Estimates of a Density Function, The Annals of Mathematical Statistics, vol.27, issue.3, pp.832-837, 1956. ,
DOI : 10.1214/aoms/1177728190
Empirical choice of histograms and kernel density estimators, Scandinavian Journal of Statistics, vol.9, issue.2, pp.65-78, 1982. ,
A reliable databased bandwidth selection method for kernel density estimation, Journal of the Royal Statistical Society. Series B (Methodological), vol.53, issue.3, pp.683-690, 1991. ,
Density estimation for statistics and data analysis, 1986. ,
DOI : 10.1007/978-1-4899-3324-9
Manifold Parzen windows, Advances in Neural Information Processing Systems 15, pp.825-832, 2002. ,
Distance metric learning with application to clustering with side-information, Advances in Neural Information Processing Systems 14, 2002. ,
Self-tuning spectral clustering, Advances in Neural Information Processing Systems 17, 2004. ,