Articles (4): |
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Blaschko MB  , Shelton JA , Bartels A , Lampert CH and Gretton A (2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI
Pattern Recognition Letters 32(11) 1572-1583.
 
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Tuytelaars T , Lampert CH , Blaschko MB and Buntine W (2010) Unsupervised Object Discovery: A Comparison
International Journal of Computer Vision 88(2) 284-302.
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Lampert CH , Blaschko MB and Hofmann T (2009) Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
IEEE Transactions on Pattern Analysis and Machine Intelligence 31(12) 2129-2142.
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Lampert CH and Blaschko MB (2009) Structured prediction by joint kernel support estimation
Machine Learning 77(2-3) 249-269.
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Conference papers (14): |
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Blaschko M and Lampert CH (2009) Object Localization with Global and Local
Context Kernels
In: BMVC 2009, British Machine Vision Conference 2009, 1-11.
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Blaschko MB and Gretton A (2009) Learning Taxonomies by Dependence Maximization
In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 153-160.
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Blaschko M , Shelton J and Bartels A (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, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 126-134.
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Lampert CH and Blaschko M (2008) Joint Kernel Support Estimation for Structured Prediction
NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008), 1-4.
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Blaschko MB and Lampert CH (2008) Learning to Localize Objects with Structured Output Regression
In: ECCV 2008, (Ed) Forsyth, D. A., P. H.S. Torr, A. Zisserman, 10th European Conference on Computer Vision, Springer, Berlin, Germany, 2-15.
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Blaschko MB , Lampert CH and Gretton A (2008) Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
In: ECML PKDD 2008, (Ed) Daelemans, W. , B. Goethals, K. Morik, 19th European Conference on Machine Learning, Springer, Berlin, Germany, 133-145.
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Blaschko MB and Gretton A (2008) A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery
In: MLG 2008, 6th International Workshop on Mining and Learning with Graphs, 1-3.
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Lampert C and Blaschko MB (2008) A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection
In: DAGM 2008, (Ed) Rigoll, G., 30th Annual Symposium of the German Association for Pattern Recognition, Springer, Berlin, Germany, 31-40.
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Lampert CH , Blaschko MB and Hofmann T (2008) Beyond Sliding Windows: Object Localization by Efficient Subwindow Search
In: CVPR 2008, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
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Blaschko MB and Lampert CH (2008) Correlational Spectral Clustering
In: CVPR 2008, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
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Blaschko MB and Hofmann T (2006) Conformal Multi-Instance Kernels
NIPS 2006 Workshop on Learning to Compare Examples, 1-6.
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Lisin DA , Mattar MA , Blaschko MB , Benfield MC and Learned-Miller EG (2005) Combining Local and Global Image Features for Object Class Recognition
In: CVPR, CVPR, 47-47.
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Blaschko MB , Holness G , Mattar MA , Lisin D , Utgoff PE , Hanson AR , Schultz H , Riseman EM , Sieracki ME , Balch WM and Tupper B (2005) Automatic In Situ Identification of Plankton
In: WACV, WACV, 79.
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Shapiro MD and Blaschko MB (2004) Stability of Hausdorff-based Distance Measures
In: VIIP, VIIP, 1-6.
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Technical reports (4): |
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Shelton J , Blaschko M and Bartels A : Semi-supervised subspace analysis of human functional magnetic resonance imaging data, 185, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2009).
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Blaschko MB and Gretton A : Taxonomy Inference Using Kernel Dependence
Measures, 181, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (2008).
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Blaschko MB , Hofmann T and Lampert CH : Efficient Subwindow Search for Object Localization, 164, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2007).
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Shapiro MD and Blaschko MB : On Hausdorff Distance Measures, Department of Computer Science, University of Massachusetts Amherst, (2004).
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Posters (4): |
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Shelton JA , Blaschko MB and Bartels A (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), Whistler, BC, Canada.
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Shelton JA , Blaschko MB , Gretton A , Müller J , Fischer E and Bartels A (2010): 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.
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Shelton JA , Blaschko MB , Lampert CH and Bartels A (2009): Semi-supervised Analysis of Human fMRI Data, Berlin Brain Computer Interface Workshop on Advances in Neurotechnology, 2009 1.
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Sieracki M , Riseman E , Balch W , Benfield M , Hanson A , Pilskaln C , Schultz H , Sieracki C , Utgoff P , Blaschko M , Holness G , Mattar M , Lisin D and Tupper B (2005): Automatic Classification of Plankton from Digital Images, ASLO Aquatic Sciences Meeting, 1 1.
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Theses (2): |
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Blaschko MB : Kernel Methods in Computer Vision:
Object Localization, Clustering,
and Taxonomy Discovery, Technische Universität Berlin, Berlin, Germany, (2009).
PhD thesis
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Blaschko MB : Support Vector Classification of Images with Local Features, University of Massachusetts, Amherst, (2005).
Diplom thesis
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