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Publications

Displaying results 681 to 690 of 14804.

  1. Kristian Kersting; Mirwaes Wahabzada; Christian Thurau; Christian Bauckhage

    Hierarchical Convex NMF for Clustering Massive Data

    In: Masashi Sugiyama; Qiang Yang (Hrsg.). Proceedings of the 2nd Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2010), November 8-10, Tokyo, Japan, Pages 253-268, JMLR Proceedings, Vol. 13, JMLR.org, 2010.

  2. Zhao Xu; Kristian Kersting; Thorsten Joachims

    Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes

    In: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2010), September 20-24, Barcelona, Spain, Pages 499-514, Lecture Notes in Computer Science, Vol. 6323, Springer, 2010.

  3. Tobias Lang; Marc Toussaint; Kristian Kersting

    Exploration in Relational Worlds

    In: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2010), September 20-24, Barcelona, Spain, Pages 178-194, Lecture Notes in Computer Science, Vol. 6322, Springer, 2010.

  4. Novi Quadrianto; Kristian Kersting; Tinne Tuytelaars; Wray L. Buntine

    Beyond 2D-grids: a dependence maximization view on image browsing

    In: James Ze Wang; Nozha Boujemaa; Nuria Oliver Ramirez; Apostol Natsev (Hrsg.). Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval. ACM International Conference on Multimedia Information Retrieval (MIR-2010), March 29-31, Philadelphia, Pennsylvania, USA, Pages 339-348, ACM, 2010.

  5. Jens Behley; Kristian Kersting; Dirk Schulz; Volker Steinhage; Armin B. Cremers

    Learning to hash logistic regression for fast 3D scan point classification

    In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2010), October 18-22, Taipei, Taiwan, Province of China, Pages 5960-5965, IEEE, 2010.

  6. Sriraam Natarajan; Gautam Kunapuli; Kshitij Judah; Prasad Tadepalli; Kristian Kersting; Jude W. Shavlik

    Multi-Agent Inverse Reinforcement Learning

    In: Sorin Draghici; Taghi M. Khoshgoftaar; Vasile Palade; Witold Pedrycz; M. Arif Wani; Xingquan Zhu (Hrsg.). The Ninth International Conference on Machine Learning and Applications. International Conference on Machine Learning (ICML-2010), December 12-14, USA, Pages 395-400, IEEE Computer Society, 2010.

  7. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

  8. Farzad Nozarian; Shashank Agarwal; Farzaneh Rezaeianaran; Danish Shahzad; Atanas Poibrenski; Christian Müller; Philipp Slusallek

    Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU-2023), located at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19, Vancouver, Canada, Pages 4981-4990, IEEE, 6/2023.

  9. Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Mena; Miro Miranda Lorenz; Deepak Kumar Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel

    Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing

    In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), July 16-21, Pasadena, California, USA, Pages 5014-5017, IEEE Xplore, 10/2023.

  10. Leon Cedric Danter; Joachim Clemens; Andreas Serov; Anne Schattel; Michael Schleiss; Cedric Liman; Mario Gäbel; Andre Mühlenbrock; Gabriel Zachmann

    VAMEX3: AUTONOMOUSLY EXPLORING MARS WITH A HETEROGENEOUS ROBOT SWARM

    In: ASTRA Proceedings. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), 17th Symposium on Advanced Space Technologies in Robotics and Automation, October 18-20, Leiden, Netherlands, European Space Agency (ESA), 2023.

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