Publications of MB Blaschko
All genres
Journal Article (4)
1.
Journal Article
32 (11), pp. 1572 - 1583 (2011)
Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters 2.
Journal Article
88 (2), pp. 284 - 302 (2010)
Unsupervised Object Discovery: A Comparison. International Journal of Computer Vision 3.
Journal Article
77 (2-3), pp. 249 - 269 (2009)
Structured prediction by joint kernel support estimation. Machine Learning 4.
Journal Article
31 (12), pp. 2129 - 2142 (2009)
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence Conference Paper (13)
5.
Conference Paper
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)
6.
Conference Paper
Object Localization with Global and Local Context Kernels. In: British Machine Vision Conference 2009 (BMVC 2009), 63, pp. 1 - 11. British Machine Vision Conference 2009 (BMVC 2009), London, UK, September 07, 2009 - September 10, 2009. BMVA Press, Durham, UK (2009)
7.
Conference Paper
Learning Taxonomies by Dependence Maximization. In: Advances in neural information processing systems 21, pp. 153 - 160 (Eds. Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
8.
Conference Paper
Joint Kernel Support Estimation for Structured Prediction. In: NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008), pp. 1 - 4. NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008), Whistler, BC, Canada, December 13, 2008. (2008)
9.
Conference Paper
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, pp. 2 - 15 (Eds. Forsyth, A.; Torr, P.; Zisserman, A.). 10th European Conference on Computer Vision (ECCV 2008), Marseille, France, October 12, 2008 - October 18, 2008. Springer, Berlin, Germany (2008)
10.
Conference Paper
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, pp. 133 - 145 (Eds. Daelemans, W.; Goethals, B.; Morik, K.). 19th European Conference on Machine Learning (ECML PKDD 2008), Antwerpen, Belgium, September 15, 2008 - September 19, 2008. Springer, Berlin, Germany (2008)
11.
Conference Paper
A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery. In: 6th International Workshop on Mining and Learning with Graphs (MLG 2008), pp. 1 - 3. 6th International Workshop on Mining and Learning with Graphs (MLG 2008), Helsinki, Finland, July 04, 2008 - July 05, 2008. (2008)
12.
Conference Paper
Correlational Spectral Clustering. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, AK, USA, June 23, 2008 - June 28, 2008. IEEE, Piscataway, NJ, USA (2008)
13.
Conference Paper
A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection. In: Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008, pp. 31 - 40 (Ed. Rigoll, G.). 30th Annual Symposium of the German Association for Pattern Recognition, München, Germany, June 10, 2008 - June 13, 2008. Springer, Berlin, Germany (2008)
14.
Conference Paper
Beyond Sliding Windows: Object Localization by Efficient Subwindow Search. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, AK, USA, June 23, 2008 - June 28, 2008. IEEE, Piscataway, NJ, USA (2008)
15.
Conference Paper
Conformal Multi-Instance Kernels. In: NIPS 2006 Workshop on Learning to Compare Examples, pp. 1 - 6. NIPS 2006 Workshop on Learning to Compare Examples, Whistler, BC, Canada, December 08, 2006. (2006)
16.
Conference Paper
Combining Local and Global Image Features for Object Class Recognition. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05): Workshops, pp. 1 - 8. CVPR 2005 Workshop on Learning in Computer Vision and Pattern Recognition, San Diego, CA, USA, September 21, 2005 - September 23, 2005. IEEE, Los Alamitos, CA, USA (2005)
17.
Conference Paper
Stability of Hausdorff-based Distance Measures. VIIP. Visualization, Imaging, and Image Processing, pp. 1 - 6 (2004)
Poster (3)
18.
Poster
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)
19.
Poster
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)
20.
Poster
Semi-supervised Analysis of Human fMRI Data. Berlin BCI Workshop 2009: Advances in Nanotechnology, Berlin, Germany (2009)