Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, Neural Computation, vol.15, issue.6, pp.1373-1396, 2003. ,
DOI : 10.1126/science.290.5500.2319
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.3745
A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities, Medical Image Analysis, vol.15, issue.3, pp.316-328, 2011. ,
DOI : 10.1016/j.media.2010.12.006
Constrained manifold learning for the characterization of pathological deviations from normality, Medical Image Analysis, vol.16, issue.8, pp.1532-1549, 2012. ,
DOI : 10.1016/j.media.2012.07.003
A systematic review of diastolic stress tests in heart failure with preserved ejection fraction, with proposals from the EU-FP7 MEDIA study group, European Journal of Heart Failure, vol.28, issue.12, pp.1345-1361, 2013. ,
DOI : 10.1002/ejhf.184
CVX: Matlab software for disciplined convex programming, version 2.0 beta, 2013. ,
DOI : 10.1007/0-387-30528-9_7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.8900
Heart failure with preserved ejection fraction: a clinical dilemma, European Heart Journal, vol.35, issue.16, pp.1022-1032, 2014. ,
DOI : 10.1093/eurheartj/ehu067
Multiple kernel learning for dimensionality reduction, IEEE Trans Pattern Anal Mach Intell, vol.33, pp.1-14, 2011. ,
How to diagnose diastolic heart failure: a consensus statement on the diagnosis of heart failure with normal left ventricular ejection fraction by the Heart Failure and Echocardiography Associations of the European Society of Cardiology, European Heart Journal, vol.28, issue.20, pp.2539-2550, 2007. ,
DOI : 10.1093/eurheartj/ehm037
New strategies for heart failure with preserved ejection fraction: the importance of targeted therapies for heart failure phenotypes, European Heart Journal, vol.35, issue.40, pp.2797-2811, 2014. ,
DOI : 10.1093/eurheartj/ehu204
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.1, pp.40-51, 2007. ,
DOI : 10.1109/TPAMI.2007.250598