Improving Sparse Recovery on Structured Images with Bagged Clustering

Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015

Volumn , Issue , 2015, Pages 73-76

  Hoyos Idrobo, Andres ^a   Schwartz, Yannick ^a   Varoquaux, Gael ^a   Thirion, Bertrand ^a  

^a CEA SACLAY   (France)

Author keywords

brain imaging; clustering; High dimensional estimators; machine learning; Stability

Indexed keywords

ARTIFICIAL INTELLIGENCE; BRAIN MAPPING; CONVERGENCE OF NUMERICAL METHODS; IMAGE PROCESSING; LEARNING SYSTEMS; NEUROIMAGING; PATTERN RECOGNITION; PRASEODYMIUM ALLOYS;

BRAIN IMAGING; CLUSTERING; CORRELATED VARIABLES; DISCRIMINATIVE APPROACH; ESTIMATION PROBLEM; FEATURE CLUSTERING; HIGH-DIMENSIONAL; PREDICTIVE MODELING;

DATA COMPRESSION;

EID: 84961801092     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2015.30     Document Type: Conference Paper

References (12)

1. J. Mourão-Miranda, A. L. Bokde, C. Born, H. Hampel, and M. Stetter, "Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data," NeuroImage, vol. 28, no. 4, pp. 980-995, 2005.
2. N. Meinshausen and P. Bühlmann, "Stability selection," J Roy Stat Soc B, vol. 72, no. 4, pp. 417-473, 2010.
3. B. Yu, "Stability," Bernoulli, vol. 19, p. 1484, 2013.
4. B. D. Mota, V. Fritsch, G. Varoquaux et al., "Enhancing the reproducibility of group analysis with randomized brain parcellations," MICCAI, vol. 16, p. 591, 2013.
5. G. Varoquaux, A. Gramfort, and B. Thirion, "Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering," in ICML, 2012, p. 1375.
6. J. M. Rondina, J. Shawe-Taylor, and J. Mourão-Miranda, "Stability-based multivariate mapping using scors," in PRNI, 2013, p. 198.
7. S. Ryali, K. Supekar, D. Abrams, and V. Menon, "Sparse logistic regression for whole-brain classification of fMRI data," NeuroImage, vol. 51, p. 752, 2010.
8. N. Meinshausen and B. Yu, "Lasso-type recovery of sparse representations for high-dimensional data," The Annals of Statistics, vol. 37, p. 246, 2009.
9. V. Michel, A. Gramfort, G. Varoquaux et al., "A supervised clustering approach for fMRI-based inference of brain states," Pattern Recognition, vol. 45, p. 2041, 2012.
10. R. A. Poldrack, D. M. Barch, J. P. Mitchell et al., "Toward open sharing of task-based fMRI data: the OpenfMRI project," Frontiers in Neuroinformatics, vol. 7, 2013.
11. D. S. Marcus, T. H. Wang, J. Parker et al., "Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults." J Cogn Neurosci, vol. 19, p. 1498, 2007.
12. F. Pedregosa, G. Varoquaux, A. Gramfort et al., "Scikit-learn: Machine learning in Python," Journal of Machine Learning Research, vol. 12, p. 2825, 2011.