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77 Publications

2012 | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. “Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction,” 1:82–90. Neural Information Processing Systems, 2012.
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2012 | Conference Paper | IST-REx-ID: 3126
Müller, Andreas, Sebastian Nowozin, and Christoph Lampert. “Information Theoretic Clustering Using Minimal Spanning Trees,” 7476:205–15. Springer, 2012. https://doi.org/10.1007/978-3-642-32717-9_21.
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2012 | Journal Article | IST-REx-ID: 3164
Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.” International Journal of Computer Vision 99, no. 3 (2012): 257–58. https://doi.org/10.1007/s11263-012-0530-y.
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2012 | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Multi-Modal Learning for Dynamic Tactile Sensing.” Deutsches Zentrum für Luft und Raumfahrt, 2012.
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2012 | Conference Paper | IST-REx-ID: 3127   OA
Quadrianto, Novi, Christoph Lampert, and Chao Chen. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” In Proceedings of the 29th International Conference on Machine Learning, 211–18. Omnipress, 2012.
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2012 | Journal Article | IST-REx-ID: 3248   OA
Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing 7, no. 1 (2012): 31–41. https://doi.org/10.1007/s11554-010-0168-3.
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2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto, Novi, and Christoph Lampert. “Learning Multi-View Neighborhood Preserving Projections,” 425–32. Omnipress, 2011.
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2011 | Conference Paper | IST-REx-ID: 3163
Lampert, Christoph. “Maximum Margin Multi-Label Structured Prediction.” Neural Information Processing Systems, 2011.
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2011 | Conference Poster | IST-REx-ID: 3322
Lampert, Christoph. Maximum Margin Multi Label Structured Prediction. NIPS: Neural Information Processing Systems. Neural Information Processing Systems, 2011.
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2011 | Journal Article | IST-REx-ID: 3389
Blaschko, Matthew, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert, and Arthur Gretton. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.” Pattern Recognition Letters 32, no. 11 (2011): 1572–83. https://doi.org/10.1016/j.patrec.2011.02.011.
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2011 | Technical Report | IST-REx-ID: 5386   OA
Chen, Chao, Daniel Freedman, and Christoph Lampert. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011. https://doi.org/10.15479/AT:IST-2011-0002.
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2011 | Conference Paper | IST-REx-ID: 3336
Chen, Chao, Daniel Freedman, and Christoph Lampert. “Enforcing Topological Constraints in Random Field Image Segmentation.” In CVPR: Computer Vision and Pattern Recognition, 2089–96. IEEE, 2011. https://doi.org/10.1109/CVPR.2011.5995503.
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2011 | Journal Article | IST-REx-ID: 3320
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision 6, no. 3–4 (2011): 185–365. https://doi.org/10.1561/0600000033.
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2011 | Journal Article | IST-REx-ID: 3382
Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.” IEEE Transactions on Robotics 27, no. 3 (2011): 545–57. https://doi.org/10.1109/TRO.2011.2121130.
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2011 | Conference Paper | IST-REx-ID: 3337
Wang, Zhikun, Christoph Lampert, Katharina Mülling, Bernhard Schölkopf, and Jan Peters. “Learning Anticipation Policies for Robot Table Tennis,” 332–37. IEEE, 2011. https://doi.org/10.1109/IROS.2011.6094892.
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2010 | Conference Paper | IST-REx-ID: 3794
Lampert, Christoph, and Oliver Krömer. “Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning,” 6312:566–79. Springer, 2010. https://doi.org/10.1007/978-3-642-15552-9_41.
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2010 | Conference Paper | IST-REx-ID: 3793
Nowozin, Sebastian, Peter Gehler, and Christoph Lampert. “On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation,” 6316:98–111. Springer, 2010. https://doi.org/10.1007/978-3-642-15567-3_8.
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