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Matthew Blaschko

 

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Matthew Blaschko

Position: Doktorand  Abteilung: 

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Artikel (4):

Blaschko MB, Shelton JA, Bartels A, Lampert CH und Gretton A (August-2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI Pattern Recognition Letters 32(11) 1572-1583.
Tuytelaars T, Lampert CH, Blaschko MB und Buntine W (Juni-2010) Unsupervised Object Discovery: A Comparison International Journal of Computer Vision 88(2) 284-302.
Lampert CH, Blaschko MB und Hofmann T (Dezember-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 und Blaschko MB (Dezember-2009) Structured prediction by joint kernel support estimation Machine Learning 77(2-3) 249-269.

Beiträge zu Tagungsbänden (13):

Blaschko M, Shelton J und Bartels A (April-2010) Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity In: Advances in Neural Information Processing Systems 22, , 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 126-134.
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Blaschko M und Lampert CH (September-2009) Object Localization with Global and Local Context Kernels, British Machine Vision Conference (BMVC 2009), BMVA Press, Durham, UK, 1-11.
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Blaschko MB und Gretton A (Juni-2009) Learning Taxonomies by Dependence Maximization In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 153-160.
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Lampert CH und Blaschko M (Dezember-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 und Lampert CH (Oktober-2008) Learning to Localize Objects with Structured Output Regression In: Computer Vision – ECCV 2008, , 10th European Conference on Computer Vision (ECCV 2008), Springer, Berlin, Germany, 2-15, Series: Lecture Notes in Computer Science ; 5304.
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Blaschko MB, Lampert CH und Gretton A (August-2008) Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis In: Machine Learning and Knowledge Discovery in Databases, , 19th European Conference on Machine Learning (ECML PKDD 2008), Springer, Berlin, Germany, 133-145, Series: Lecture Notes in Computer Science ; 5211.
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Blaschko MB und Gretton A (Juli-2008) A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery, 6th International Workshop on Mining and Learning with Graphs (MLG 2008), 1-3.
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Lampert C und Blaschko MB (Juni-2008) A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection In: Pattern Recognition, , 30th Annual Symposium of the German Association for Pattern Recognition (DAGM 2008), Springer, Berlin, Germany, 31-40, Series: Lecture Notes in Computer Science ; 5096.
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Lampert CH, Blaschko MB und Hofmann T (Juni-2008) Beyond Sliding Windows: Object Localization by Efficient Subwindow Search, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
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Blaschko MB und Lampert CH (Juni-2008) Correlational Spectral Clustering, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
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Blaschko MB und Hofmann T (Dezember-8-2006) 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 und Learned-Miller EG (Juni-2005) Combining Local and Global Image Features for Object Class Recognition, CVPR 2005 Workshop on Learning in Computer Vision and Pattern Recognition, IEEE Computer Society, Los Alamitos, CA, USA, 47.
Shapiro MD und Blaschko MB (September-2004) Stability of Hausdorff-based Distance Measures In: VIIP, , VIIP, Visualization, Imaging, and Image Processing, 1-6.

Technische Berichte (4):

Shelton J, Blaschko M und Bartels A: Semi-supervised subspace analysis of human functional magnetic resonance imaging data, 185, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Mai-2009).
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Blaschko MB und Gretton A: Taxonomy Inference Using Kernel Dependence Measures, 181, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2008).
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Blaschko MB, Hofmann T und Lampert CH: Efficient Subwindow Search for Object Localization, 164, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2007).
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Shapiro MD und Blaschko MB: On Hausdorff Distance Measures, Department of Computer Science, University of Massachusetts Amherst, (August-2004).

Poster (5):

Shelton JA, Blaschko MB, Gretton A, Müller J, Fischer E und Bartels A (Dezember-11-2010): 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 und Bartels A (Dezember-7-2010): 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, Lampert CH und Bartels A (Juli-2009): Semi-supervised Analysis of Human fMRI Data, Berlin BCI Workshop 2009: Advances in Nanotechnology, Berlin, Germany.
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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 und Tupper B (Februar-2005): Automatic Classification of Plankton from Digital Images, ASLO Aquatic Sciences Meeting, 1 1.
Blaschko MB, Holness G, Mattar MA, Lisin D, Utgoff PE, Hanson AR, Schultz H, Riseman EM, Sieracki ME, Balch WM und Tupper B (Januar-2005): Automatic In Situ Identification of Plankton, Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTIONS'05), Breckenridge, CO, USA.

Abschlussarbeiten (2):

Blaschko MB: Kernel Methods in Computer Vision: Object Localization, Clustering, and Taxonomy Discovery, Technische Universität Berlin, Germany, (März-23-2009). PhD thesis
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Blaschko MB: Support Vector Classification of Images with Local Features, University of Massachusetts, Amherst, (Mai-2005). Diplom thesis

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Last updated: Montag, 22.05.2017