Publikationen von MB Blaschko

Zeitschriftenartikel (4)

1.
Zeitschriftenartikel
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), S. 1572 - 1583 (2011)
2.
Zeitschriftenartikel
Tuytelaars, T.; Lampert, C.; Blaschko, M.; Buntine, W.: Unsupervised Object Discovery: A Comparison. International Journal of Computer Vision 88 (2), S. 284 - 302 (2010)
3.
Zeitschriftenartikel
Lampert, C.; Blaschko, M.: Structured prediction by joint kernel support estimation. Machine Learning 77 (2-3), S. 249 - 269 (2009)
4.
Zeitschriftenartikel
Lampert, C.; Blaschko, M.; Hofmann, T.: Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), S. 2129 - 2142 (2009)

Konferenzbeitrag (12)

5.
Konferenzbeitrag
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, S. 126 - 134 (Hg. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, 07. Dezember 2009 - 10. Dezember 2009. Curran, Red Hook, NY, USA (2010)
6.
Konferenzbeitrag
Blaschko, M.; Lampert, C.: Object Localization with Global and Local Context Kernels. In: British Machine Vision Conference 2009 (BMVC 2009), 63, S. 1 - 11. British Machine Vision Conference 2009 (BMVC 2009), London, UK, 07. September 2009 - 10. September 2009. BMVA Press, Durham, UK (2009)
7.
Konferenzbeitrag
Blaschko, M.; Gretton, A.: Learning Taxonomies by Dependence Maximization. In: Advances in neural information processing systems 21, S. 153 - 160 (Hg. Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, 08. Dezember 2008 - 10. Dezember 2008. Curran, Red Hook, NY, USA (2009)
8.
Konferenzbeitrag
Lampert, C.; Blaschko, M.: Joint Kernel Support Estimation for Structured Prediction. In: NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008), S. 1 - 4. NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008), Whistler, BC, Canada, 13. Dezember 2008. (2008)
9.
Konferenzbeitrag
Blaschko, M.; Lampert, C.: Learning to Localize Objects with Structured Output Regression. In: Computer Vision – ECCV 2008: 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, S. 2 - 15 (Hg. Forsyth, A.; Torr, P.; Zisserman, A.). 10th European Conference on Computer Vision (ECCV 2008), Marseille, France, 12. Oktober 2008 - 18. Oktober 2008. Springer, Berlin, Germany (2008)
10.
Konferenzbeitrag
Blaschko, M.; Lampert, C.; Gretton, A.: Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, S. 133 - 145 (Hg. Daelemans, W.; Goethals, B.; Morik, K.). 19th European Conference on Machine Learning (ECML PKDD 2008), Antwerpen, Belgium, 15. September 2008 - 19. September 2008. Springer, Berlin, Germany (2008)
11.
Konferenzbeitrag
Blaschko, M.; Gretton, A.: A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery. In: 6th International Workshop on Mining and Learning with Graphs (MLG 2008), S. 1 - 3. 6th International Workshop on Mining and Learning with Graphs (MLG 2008), Helsinki, Finland, 04. Juli 2008 - 05. Juli 2008. (2008)
12.
Konferenzbeitrag
Blaschko, M.; Lampert, C.: Correlational Spectral Clustering. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, S. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, AK, USA, 23. Juni 2008 - 28. Juni 2008. IEEE, Piscataway, NJ, USA (2008)
13.
Konferenzbeitrag
Lampert, C.; Blaschko, M.: A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection. In: Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008, S. 31 - 40 (Hg. Rigoll, G.). 30th Annual Symposium of the German Association for Pattern Recognition, München, Germany, 10. Juni 2008 - 13. Juni 2008. Springer, Berlin, Germany (2008)
14.
Konferenzbeitrag
Lampert, C.; Blaschko, M.; Hofmann, T.: Beyond Sliding Windows: Object Localization by Efficient Subwindow Search. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, S. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, AK, USA, 23. Juni 2008 - 28. Juni 2008. IEEE, Piscataway, NJ, USA (2008)
15.
Konferenzbeitrag
Blaschko, M.; Hofmann, T.: Conformal Multi-Instance Kernels. In: NIPS 2006 Workshop on Learning to Compare Examples, S. 1 - 6. NIPS 2006 Workshop on Learning to Compare Examples, Whistler, BC, Canada, 08. Dezember 2006. (2006)
16.
Konferenzbeitrag
Shapiro, M.; Blaschko, M.: Stability of Hausdorff-based Distance Measures. VIIP. Visualization, Imaging, and Image Processing, S. 1 - 6 (2004)

Poster (3)

17.
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)
18.
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)
19.
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)

Bericht (3)

20.
Bericht
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 S.