Ei_header
Nobody
Matthew Blaschko
Position: PhD Student
Phone: +49-7071-601 543
Fax: +49-7071-601 552

Export search results as: [BibTex]

2011
Articles
2010
Posters
  • JA. Shelton, MB. Blaschko, A. Bartels (2010). Augmentation of fMRI Data Analysis using Resting State Activity and Semi-supervised Canonical Correlation Analysis NIPS 2010 Women in Machine Learning Workshop (WiML 2010)
Articles
2009
Articles
  • CH. Lampert, MB. Blaschko, T. Hofmann (2009). Efficient Subwindow Search: A Branch and Bound Framework for Object Localization IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, (12), 2129-2142
Conference Papers
  • MB. Blaschko, A. Gretton (2009). Learning Taxonomies by Dependence Maximization In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Curran, Red Hook, NY, USA, 153-160, ISBN: 978-1-605-60949-2, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)
  • M. Blaschko, CH. Lampert (2009). Object Localization with Global and Local Context Kernels In: BMVC 2009, Proceedings of the British Machine Vision Conference 2009 (BMVC 2009), 1-11, British Machine Vision Conference 2009
  • M. Blaschko, J. Shelton, A. Bartels (2009). Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity In: Advances in Neural Information Processing Systems 22, (Ed) Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta, Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Curran, Red Hook, NY, USA, 126-134, ISBN: 978-1-615-67911-9, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009)
Theses
  • MB. Blaschko (2009). Kernel Methods in Computer Vision: Object Localization, Clustering, and Taxonomy Discovery Technische Universität Berlin, Berlin, Germany
Posters
Technical Reports
  • J. Shelton, M. Blaschko, A. Bartels (2009). Semi-supervised subspace analysis of human functional magnetic resonance imaging data Max Planck Institute for Biological Cybernetics, Tübingen, Germany
2008
Conference Papers
  • MB. Blaschko, CH. Lampert (2008). Learning to Localize Objects with Structured Output Regression In: ECCV 2008, (Ed) Forsyth, D. A., P. H.S. Torr, A. Zisserman, Computer Vision: ECCV 2008, Springer, Berlin, Germany, 2-15, 10th European Conference on Computer Vision
  • MB. Blaschko, CH. Lampert, A. Gretton (2008). Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis In: ECML PKDD 2008, (Ed) Daelemans, W. , B. Goethals, K. Morik, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Springer, Berlin, Germany, 133-145, 19th European Conference on Machine Learning
  • CH. Lampert, M. Blaschko (2008). Joint Kernel Support Estimation for Structured Prediction Proceedings of the NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, 1-4, NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008)
  • C. Lampert, MB. Blaschko (2008). A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection In: DAGM 2008, (Ed) Rigoll, G. , Pattern Recognition: Proceedings of the 30th DAGM Symposium, Springer, German Association for Pattern Recognition, Berlin, Germany, 31-40, 30th Annual Symposium of the German Association for Pattern Recognition
    [DOI] [PDF] [ZIP] [Web] [BibTex] [Share]
  • MB. Blaschko, A. Gretton (2008). A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery In: MLG 2008, Proceedings of the 6th International Workshop on Mining and Learning with Graphs (MLG 2008), 1-3, 6th International Workshop on Mining and Learning with Graphs
  • MB. Blaschko, CH. Lampert (2008). Correlational Spectral Clustering In: CVPR 2008, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1-8, IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • CH. Lampert, MB. Blaschko, T. Hofmann (2008). Beyond Sliding Windows: Object Localization by Efficient Subwindow Search In: CVPR 2008, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1-8, IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    [DOI] [PDF] [PDF] [Web] [BibTex] [Share]
Technical Reports
2007
Technical Reports
2006
Conference Papers
  • MB. Blaschko, T. Hofmann (2006). Conformal Multi-Instance Kernels NIPS 2006 Workshop on Learning to Compare Examples, 1-6, NIPS 2006 Workshop on Learning to Compare Examples
2005
Conference Papers
  • Lisin, DA. and Mattar, MA. and Blaschko, MB. and Benfield, MC. and Learned-Miller, EG. (2005). Combining Local and Global Image Features for Object Class Recognition In: CVPR, Proceedings of IEEE Workshop on Learning in Computer Vision and Pattern Recognition (in conjunction with CVPR), 47-47, CVPR
  • Blaschko, MB. and Holness, G. and Mattar, MA. and Lisin, D. and Utgoff, PE. and Hanson, AR. and Schultz, H. and Riseman, EM. and Sieracki, ME. and Balch, WM. and Tupper, B. (2005). Automatic In Situ Identification of Plankton In: WACV, Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION‘05), 79 , WACV
Theses
  • Blaschko, MB. (2005). Support Vector Classification of Images with Local Features University of Massachusetts, Amherst
Posters
  • Sieracki, M. and Riseman, E. and Balch, W. and Benfield, M. and Hanson, A. and Pilskaln, C. and Schultz, H. and Sieracki, C. and Utgoff, P. and Blaschko, M. and Holness, G. and Mattar, M. and Lisin, D. and Tupper, B. (2005). Automatic Classification of Plankton from Digital Images ASLO Aquatic Sciences Meeting, 1, 1
2004
Conference Papers
  • Shapiro, MD. and Blaschko, MB. (2004). Stability of Hausdorff-based Distance Measures In: VIIP, Visualization, Imaging, and Image Processing, 1-6, VIIP
Technical Reports
  • Shapiro, MD. and Blaschko, MB. (2004). On Hausdorff Distance Measures Department of Computer Science, University of Massachusetts Amherst