Projet ANR DETECT -- Results

Results obtained with the support of the ANR Project DETECT
New statistical approaches to computer vision and bioinformatics

Last updated: October, 15th 2012 - Back to the the project page - Back to index
See also this bibtex file, and visualize it through bibserver.

(2012) Toby Dylan Hocking, New sparse methods for clustering and segmentation, with applications to bioinformatics. Ph.D. dissertation, co-advised by Francis Bach and Jean-Philippe Vert.
(2012) Sylvain Arlot, Alain Celisse, Zaïd Harchaoui. Kernel change-point detection. Preprint.
[Hal] [arXiv]
(2010) Sylvain Arlot, Alain Celisse. Segmentation of the mean of heteroscedastic data via cross-validation. Statistics and Computing, 1--20. DOI: 10.1007/s11222-010-9196-x.
[journal] [pdf.gz] [supplementary material, pdf.gz] [Hal] [matlab code]

(2012) Sylvain Arlot, Matthieu Lerasle. V-fold cross-validation and V-fold penalization in least-squares density estimation. Preprint.
[Hal] [arXiv]
(2012) Matthieu Solnon, Sylvain Arlot, Francis Bach. Multi-task Regression using Minimal Penalties. JMLR 13(Sep):2773-2812, 2012.
[pdf] [journal] [Hal] [arXiv] [matlab code]
(2011) Sylvain Arlot, Francis Bach. Data-driven calibration of linear estimators with minimal penalties. Preprint.
[Hal] [arXiv]
(2010) Alain Celisse, Tristan Mary-Huard. Exact Cross-Validation for kNN and applications to passive and active learning in classification. Journal de la SFdS. 152(3), 2011. [pdf]
(2010) Sylvain Arlot. Choosing a penalty for model selection in heteroscedastic regression. Preprint. [pdf]
(2010) Sylvain Arlot and Alain Celisse. A survey of cross-validation procedures for model selection. Statistics Surveys, 4, (2010), 40-79 (electronic). DOI: 10.1214/09-SS054. [journal]

(2012) Gilles Blanchard, Sylvain Delattre, Étienne Roquain. Testing over a continuum of null hypotheses. Bernoulli, Volume 20, Number 1 (2014), 304-333. [journal] [arXiv]
(2012) Gilles Blanchard, Torsten Dickhaus, Étienne Roquain, Fanny Villers. On least favorable configurations for step-up-down tests. Statistica Sinica 24 (2014), 1-23. [journal] [arXiv]
(2012) Pierre Neuvial, Étienne Roquain. On false discovery rate thresholding for classification under sparsity. The Annals of Statistics, Volume 40, Number 5 (2012), 2572-2600. [journal] [arXiv]
(2011) Étienne Roquain. Type I error rate control in multiple testing: a survey with proofs. Journal de la Société Française de Statistique, 152(2):3--38. [Hal] [arXiv]
(2011) Étienne Roquain and Fanny Villers. Exact calculations for false discovery proportion with application to least favorable configurations. Annals of Statistics Volume 39, Number 1, 2011, 584-612. [Projet Euclid] [arXiv]
(2010) Alain Celisse and Stéphane Robin. A cross-validation based estimation of the proportion of true null hypotheses. J. Statist. Planning Inference, 2010 (electronic). Volume 140, Issue 11, November 2010, Pages 3132-3147. DOI:10.1016/j.jspi.2010.04.014 . [journal] [arXiv]

(2011) Vincent Delaitre, Josef Sivic, Ivan Laptev. Learning person-object interactions for action recognition in still images. Advances in Neural Information Processing Systems (NIPS). [webpage and dataset] [proceedings]
(2011) Mikel Rodriguez, Josef Sivic, Ivan Laptev and Jean-Yves Audibert. Data-driven Crowd Analysis. International Conference on Computer Vision (ICCV), 2011. [webpage and dataset]
(2011) Mikel Rodriguez, Josef Sivic, Ivan Laptev and Jean-Yves Audibert. Density-aware person detection and tracking in crowds. International Conference on Computer Vision (ICCV), 2011. [webpage and dataset]

(2012) Alain Celisse, J.-J. Daudin et Laurent Pierre. Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model. Electron. J. Statist. Volume 6 (2012), 1847-1899. [Hal] [journal]
(2010) Kyung In Kim, Etienne Roquain and Mark A. van de Wiel. Spatial Clustering of Array CGH Features in Combination with Hierarchical Multiple Testing. Statistical Applications in Genetics and Molecular Biology, Vol. 9, No. 1, 2010. [journal] [arXiv]