Search results

Journal Article (1)

1.
Journal Article
Blaschko, M.; Shelton, J.; Bartels, A.; Lampert, C.; Gretton, A.: Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters 32 (11), pp. 1572 - 1583 (2011)

Conference Paper (1)

2.
Conference Paper
Blaschko, M.; Shelton, J.; Bartels, A.: Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity. In: Advances in Neural Information Processing Systems 22, pp. 126 - 134 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)

Talk (1)

3.
Talk
Shelton, J.: Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data. Women in Machine Learning Workshop (WiML 2009), Vancouver, BC, Canada (2009)

Poster (3)

4.
Poster
Shelton, J.; Blaschko, M.; Bartels, A.: Augmentation of fMRI Data Analysis using Resting State Activity and Semi-supervised Canonical Correlation Analysis. NIPS 2010 Women in Machine Learning Workshop (WiML 2010), Whistler, BC, Canada (2010)
5.
Poster
Shelton, J.; Blaschko, M.; Gretton, A.; Müller, J.; Fischer, E.; Bartels, A.: Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI. NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data, Whistler, BC, Canada (2010)
6.
Poster
Shelton, J.; Blaschko, M.; Lampert, C.; Bartels, A.: Semi-supervised Analysis of Human fMRI Data. Berlin BCI Workshop 2009: Advances in Nanotechnology, Berlin, Germany (2009)

Thesis - Master (1)

7.
Thesis - Master
Shelton, J.: Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data. Master, 92 pp., Eberhard Karls Universität, Tübingen, Germany (2010)

Report (1)

8.
Report
Shelton, J.; Blaschko, M.; Bartels, A.: Semi-supervised subspace analysis of human functional magnetic resonance imaging data (Technical Report of the Max Planck Institute for Biological Cybernetics, 185). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 10 pp.
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