Items where Author is "Hein, Matthias"

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Number of items: 59.

Article

Nguyen, Quynh N. and Tudisco, Francesco and Gautier, Antoine and Hein, Matthias
(2017) An Efficient Multilinear Optimization Framework for Hypergraph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 39 (6). 1054–1075.

Bhadra, Sahely and Hein, Matthias
(2015) Correction of noisy labels via mutual consistency check.
Neurocomputing, 160. 34–52.

Hein, Matthias and Lugosi, Gábor and Rosasco, Lorenzo
(2015) Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 15361).
Dagstuhl Reports, 5 (8). 54–0.

Lapin, Maksim and Hein, Matthias and Schiele, Bernt
(2014) Learning using privileged information: SV M+ and weighted SVM.
Neural Networks, 53. pp. 95-108.

von Luxburg, Ulrike and Radl, Agnes and Hein, Matthias
(2014) Hitting and commute times in large random neighborhood graphs.
Journal of Machine Learning Research, 15 (1). 1751–1798.

Slawski, Martin and Hussong, Rene and Tholey, Andreas and Jakoby, Thomas and Gregorius, Barbara and Hildebrandt, Andreas and Hein, Matthias
(2012) Isotope pattern deconvolution for peptide mass spectrometry by non-negative least squares/least absolute deviation template matching.
BMC Bioinformatics, 13. p. 291.

Hein, Matthias and Lugosi, Gábor and Rosasco, Lorenzo and Smale, Steve
(2011) Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291).
Dagstuhl Reports, 1 (7). 53–69.

Steinke, Florian and Hein, Matthias and Schölkopf, Bernhard
(2010) Nonparametric Regression between General Riemannian Manifolds.
SIAM J. Imaging Sciences, 3 (3). 527–563.

Keller, Andreas and Ludwig, Nicole and Heisel, Sabrina and Leidinger, Petra and Andres, Claudia and Steudel, Wolf-Ingo and Huwer, Hanno and Burgeth, Bernhard and Hein, Matthias and Weickert, Joachim and Meese, Eckart and Lenhof, Hans-Peter
(2009) Large-scale antibody profiling of human blood sera: The future of molecular diagnosis.
Informatik Spektrum, 32 (4). 332–338.

Maier, Markus and Hein, Matthias and von Luxburg, Ulrike
(2009) Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters.
Theor. Comput. Sci., 410 (19). 1749–1764.

Didyk, Piotr and Mantiuk, Rafal and Hein, Matthias and Seidel, Hans-Peter
(2008) Enhancement of Bright Video Features for HDR Displays.
Comput. Graph. Forum, 27 (4). 1265–1274.

Steinke, Florian and Hein, Matthias and Peters, Jan and Schölkopf, Bernhard
(2008) Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
Comput. Graph. Forum, 27 (2). 437–448.

Hein, Matthias and Audibert, Jean-Yves and von Luxburg, Ulrike
(2007) Graph Laplacians and their Convergence on Random Neighborhood Graphs.
Journal of Machine Learning Research, 8. 1325–1368.

Hein, Matthias and Bousquet, Olivier and Schölkopf, Bernhard
(2005) Maximal margin classification for metric spaces.
J. Comput. Syst. Sci., 71 (3). 333–359.

Conference or Workshop Item

Hein, Matthias and Andriushchenko, Maksym
(2017) Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation.
In: Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA.
Conference: NIPS - Advances in Neural Information Processing Systems

Nguyen, Quynh N. and Hein, Matthias
(2017) The Loss Surface of Deep and Wide Neural Networks.
In: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017.
Conference: ICML - International Conference on Machine Learning

Khoreva, Anna and Benenson, Rodrigo and Hosang, Jan Hendrik and Hein, Matthias and Schiele, Bernt
(2017) Simple Does It: Weakly Supervised Instance and Semantic Segmentation.
In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017.
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Mukkamala, Mahesh Chandra and Hein, Matthias
(2017) Variants of RMSProp and Adagrad with Logarithmic Regret Bounds.
In: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017.
Conference: ICML - International Conference on Machine Learning

Lapin, Maksim and Hein, Matthias and Schiele, Bernt
(2016) Loss Functions for Top-k Error: Analysis and Insights.
In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16).
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Mercado, Pedro and Tudisco, Francesco and Hein, Matthias
(2016) Clustering Signed Networks with the Geometric Mean of Laplacians.
In: Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain.
Conference: NIPS - Advances in Neural Information Processing Systems

Gautier, Antoine and Nguyen, Quynh N. and Hein, Matthias
(2016) Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods.
In: Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain.
Conference: NIPS - Advances in Neural Information Processing Systems

Khoreva, Anna and Benenson, Rodrigo and Galasso, Fabio and Hein, Matthias and Schiele, Bernt
(2016) Improved Image Boundaries for Better Video Segmentation.
In: Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III.
Conference: None | Not Set

Xian, Yongqin and Akata, Zeynep and Sharma, Gaurav and Nguyen, Quynh N. and Hein, Matthias and Schiele, Bernt
(2016) Latent Embeddings for Zero-Shot Classification.
In: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016.
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Khoreva, Anna and Benenson, Rodrigo and Omran, Mohamed and Hein, Matthias and Schiele, Bernt
(2016) Weakly Supervised Object Boundaries.
In: 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016).
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Khoreva, Anna and Galasso, Fabio and Hein, Matthias and Schiele, Bernt
(2015) Classifier based graph construction for video segmentation.
In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15).
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Jawanpuria, Pratik and Lapin, Maksim and Hein, Matthias and Schiele, Bernt
(2015) Efficient Output Kernel Learning for Multiple Tasks.
In: Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada.
Conference: NIPS - Advances in Neural Information Processing Systems

Slawski, Martin and Li, Ping and Hein, Matthias
(2015) Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices.
In: Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada.
Conference: NIPS - Advances in Neural Information Processing Systems

Lapin, Maksim and Hein, Matthias and Schiele, Bernt
(2015) Top-k Multiclass SVM.
In: Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada.
Conference: NIPS - Advances in Neural Information Processing Systems

Ngoc, Quynh Nguyen and Gautier, Antoine and Hein, Matthias
(2015) A flexible tensor block coordinate ascent scheme for hypergraph matching.
In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015.
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Lapin, Maksim and Schiele, Bernt and Hein, Matthias
(2014) Scalable Multitask Representation Learning for Scene Classification.
In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014.
Conference: CVPR - IEEE Conference on Computer Vision and Pattern Recognition

Khoreva, Anna and Galasso, Fabio and Hein, Matthias and Schiele, Bernt
(2014) Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering.
In: Pattern Recognition - 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings.
Conference: None | Not Set

Podosinnikova, Anastasia and Setzer, Simon and Hein, Matthias
(2014) Robust PCA: Optimization of the Robust Reconstruction Error Over the Stiefel Manifold.
In: Pattern Recognition - 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings.
Conference: None | Not Set

Rangapuram, Syama Sundar and Mudrakarta, Pramod Kaushik and Hein, Matthias
(2014) Tight Continuous Relaxation of the Balanced k-Cut Problem.
In: Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada.
Conference: NIPS - Advances in Neural Information Processing Systems

Bühler, Thomas and Rangapuram, Syama Sundar and Setzer, Simon and Hein, Matthias
(2013) Constrained fractional set programs and their application in local clustering and community detection.
In: Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013.
Conference: ICML - International Conference on Machine Learning

Rangapuram, Syama Sundar and Bühler, Thomas and Hein, Matthias
(2013) Towards realistic team formation in social networks based on densest subgraphs.
In: 22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013.
Conference: WWW - International World Wide Web Conference

Slawski, Martin and Hein, Matthias and Lutsik, Pavlo
(2013) Matrix factorization with binary components.
In: Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States..
Conference: NIPS - Advances in Neural Information Processing Systems

Hein, Matthias and Setzer, Simon and Jost, Leonardo and Rangapuram, Syama Sundar
(2013) The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited.
In: Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States..
Conference: NIPS - Advances in Neural Information Processing Systems

Rangapuram, Syama Sundar and Bühler, Thomas and Hein, Matthias
(2013) Towards realistic team formation in social networks based on densest subgraphs.
In: 22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013.
Conference: WWW - International World Wide Web Conference

Rangapuram, Syama Sundar and Hein, Matthias
(2012) Constrained 1-Spectral Clustering.
In: Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, April 21-23, 2012.
Conference: AISTATS - International Conference on Artificial Intelligence and Statistics

Hein, Matthias and Setzer, Simon
(2011) Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts.
In: Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain..
Conference: NIPS - Advances in Neural Information Processing Systems

Slawski, Martin and Hein, Matthias
(2011) Sparse recovery by thresholded non-negative least squares.
In: Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain..
Conference: NIPS - Advances in Neural Information Processing Systems

von Luxburg, Ulrike and Radl, Agnes and Hein, Matthias
(2010) Getting lost in space: Large sample analysis of the resistance distance.
In: Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada..

Hein, Matthias and Bühler, Thomas
(2010) An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA.
In: Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada..

Hein, Matthias
(2009) Robust Nonparametric Regression with Metric-Space Valued Output.
In: Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada..

Kim, Kwang In and Steinke, Florian and Hein, Matthias
(2009) Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction.
In: Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada..

Bühler, Thomas and Hein, Matthias
(2009) Spectral clustering based on the graph \emphp-Laplacian.
In: Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009.

Maier, Markus and von Luxburg, Ulrike and Hein, Matthias
(2008) Influence of graph construction on graph-based clustering measures.
In: Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008.

Steinke, Florian and Hein, Matthias
(2008) Non-parametric Regression Between Manifolds.
In: Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008.

Maier, Markus and Hein, Matthias and von Luxburg, Ulrike
(2007) Cluster Identification in Nearest-Neighbor Graphs.
In: Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings.

Hein, Matthias and Maier, Markus
(2007) Manifold Denoising as Preprocessing for Finding Natural Representations of Data.
In: Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22-26, 2007, Vancouver, British Columbia, Canada.

Hein, Matthias and Maier, Markus
(2006) Manifold Denoising.
In: Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006.

Hein, Matthias
(2006) Uniform Convergence of Adaptive Graph-Based Regularization.
In: Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings.

Hein, Matthias and Audibert, Jean-Yves and von Luxburg, Ulrike
(2005) From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians.
In: Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings.

Hein, Matthias and Bousquet, Olivier
(2005) Hilbertian Metrics and Positive Definite Kernels on Probability Measures.
In: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, AISTATS 2005, Bridgetown, Barbados, January 6-8, 2005.

Hein, Matthias and Audibert, Jean-Yves
(2005) Intrinsic dimensionality estimation of submanifolds in Rd.
In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005.

Hein, Matthias and Lal, Thomas Navin and Bousquet, Olivier
(2004) Hilbertian Metrics on Probability Measures and Their Application in SVM?s.
In: Pattern Recognition, 26th DAGM Symposium, August 30 - September 1, 2004, Tübingen, Germany, Proceedings.

Hein, Matthias and Bousquet, Olivier
(2003) Maximal Margin Classification for Metric Spaces.
In: Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings.

Bousquet, Olivier and Chapelle, Olivier and Hein, Matthias
(2003) Measure Based Regularization.
In: Advances in Neural Information Processing Systems 16 Neural Information Processing Systems, {NIPS} 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada.

Thesis

Hein, Matthias
(2005) Geometrical aspects of statistical learning theory.
Doctoral thesis, Darmstadt University of Technology, Germany.

This list was generated on Sun Jan 19 00:03:28 2020 CET.