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Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.

, , and . ICML, page 367-374. Omnipress, (2010)

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Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps., , , and . Artif. Intell. Medicine, 48 (2-3): 91-98 (2010)Non-parametric detection of the number of signals: hypothesis testing and random matrix theory., and . IEEE Trans. Signal Process., 57 (10): 3930-3941 (2009)Unsupervised Ensemble Regression., , , and . CoRR, (2017)Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning., , and . ICML, page 367-374. Omnipress, (2010)Performance of Eigenvalue-Based Signal Detectors with Known and Unknown Noise Level., , and . ICC, page 1-5. IEEE, (2011)3D shape reconstruction of Mooney faces., , and . CVPR, IEEE Computer Society, (2008)Fast Detection of Curved Edges at Low SNR., , , and . CVPR, page 213-221. IEEE Computer Society, (2016)Connecting a Discrete Ionic Simulation to a Continuum., , and . SIAM J. Appl. Math., 63 (3): 850-873 (2003)Unsupervised Ensemble Learning with Dependent Classifiers., , , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 351-360. JMLR.org, (2016)Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data., and . AISTATS, volume 2 of JMLR Proceedings, page 259-266. JMLR.org, (2007)