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The Path Kernel: A Novel Kernel for Sequential Data.

A. Baisero, F. Pokorny, D. Kragic, and C. Ek. ICPRAM (Selected Papers), volume 318 of Advances in Intelligent Systems and Computing, page 71-84. Springer, (2013)

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Henrik Wissel University of Stuttgart

Henrik Jakob University of Stuttgart

Henrik Stooß University of Stuttgart

Dr. -Ing. Henrik Ebel University of Stuttgart

Hon. -Prof. Dr. Henrik Uterwedde University of Stuttgart

Other publications of authors with the same name

Non-parametric hand pose estimation with object context.J. Romero, H. Kjellström, C. Ek, and D. Kragic. Image Vision Comput., 31 (8): 555-564 (2013)Persistent Homology for Learning Densities with Bounded Support.F. Pokorny, C. Ek, H. Kjellström, and D. Kragic. NIPS, page 1826-1834. (2012)Extracting Postural Synergies for Robotic Grasping.J. Romero, T. Feix, C. Ek, H. Kjellström, and D. Kragic. IEEE Trans. Robotics, 29 (6): 1342-1352 (2013)Learning object, grasping and manipulation activities using hierarchical HMMs.M. Patel, J. Miró, D. Kragic, C. Ek, and G. Dissanayake. Auton. Robots, 37 (3): 317-331 (2014)Nonparametric Inference for Auto-Encoding Variational Bayes.E. Bodin, I. Malik, C. Ek, and N. Campbell. CoRR, (2017)Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning.M. Hjelm, C. Ek, R. Detry, and D. Kragic. CoRR, (2019)DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures.A. Lawrence, C. Ek, and N. Campbell. ICML, volume 97 of Proceedings of Machine Learning Research, page 3682-3691. PMLR, (2019)Factorized Orthogonal Latent Spaces.M. Salzmann, C. Ek, R. Urtasun, and T. Darrell. AISTATS, volume 9 of JMLR Proceedings, page 701-708. JMLR.org, (2010)Learning Predictive State Representations for planning.J. Stork, C. Ek, and D. Kragic. IROS, page 3427-3434. IEEE, (2015)Extracting essential local object characteristics for 3D object categorization.M. Madry, H. Afkham, C. Ek, S. Carlsson, and D. Kragic. IROS, page 2240-2247. IEEE, (2013)