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Publications

Displaying results 1641 to 1650 of 14479.

  1. Hyungmin Kim; Sungho Suh; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim

    Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

    In: IEEE/CVF International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-5, Paris, France, IEEE/CVF, 10/2023.

  2. Yunmin Cho; Lala Ray; Kundan Sai Prabhu Thota; Sungho Suh; Paul Lukowicz

    ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset

    In: IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala Lumpur, Malaysia, IEEE, 10/2023.

  3. Hymalai Bello; Luis Sanchez; Sungho Suh; Bo Zhou; Paul Lukowicz

    InMyFace: Inertial and mechanomyography-based sensor fusion for wearable facial activity recognition

    In: Information Fusion, Vol. 99, Page 101886, Elsevier, 11/2023.

  4. Chonghyo Joo; Jeongdong Kim; Hyungtae Cho; Jaewon Lee; Sungho Suh; Junghwan Kim

    Chemical Property-Guided Neural Networks for Naphtha Composition Prediction

    In: IEEE International Conference on Industrial Informatics. IEEE International Conference on Industrial Informatics (INDIN-2023), July 18-20, Lemgo, Germany, IEEE, 7/2023.

  5. Babak Ahmadi; Kristian Kersting; Scott Sanner

    Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter

    In: Toby Walsh (Hrsg.). IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2011), July 16-22, Barcelona, Spain, Pages 1152-1158, IJCAI/AAAI, 2011.

  6. Zhao Xu; Kristian Kersting

    Multi-task Learning with Task Relations

    In: Diane J. Cook; Jian Pei; Wei Wang; Osmar R. Zaïane; Xindong Wu (Hrsg.). 11th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2011), December 11-14, Vancouver, BC, Canada, Pages 884-893, IEEE Computer Society, 2011.

  7. Tushar Khot; Sriraam Natarajan; Kristian Kersting; Jude W. Shavlik

    Learning Markov Logic Networks via Functional Gradient Boosting

    In: Diane J. Cook; Jian Pei; Wei Wang; Osmar R. Zaïane; Xindong Wu (Hrsg.). 11th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2011), December 11-14, Vancouver, BC, Canada, Pages 320-329, IEEE Computer Society, 2011.

  8. Ahmed Jawad; Kristian Kersting; Natalia V. Andrienko

    Where traffic meets DNA: mobility mining using biological sequence analysis revisited

    In: Isabel F. Cruz; Divyakant Agrawal; Christian S. Jensen; Eyal Ofek; Egemen Tanin (Hrsg.). 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2011, Proceedings. International Conference on Advances in Geographic Information Systems (ACM GIS-2011), November 1-4, Chicago, IL, USA, Pages 357-360, ACM, 2011.

  9. Kristian Kersting

    Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

    In: Scott Sanner; Marcus Hutter (Hrsg.). Recent Advances in Reinforcement Learning - 9th European Workshop. European Workshop on Reinforcement Learning (EWRL-2011), September 9-11, Athens, Greece, Lecture Notes in Computer Science, Vol. 7188, Springer, 2011.

  10. Mirwaes Wahabzada; Kristian Kersting; Anja Pilz; Christian Bauckhage

    More influence means less work: fast latent dirichlet allocation by influence scheduling

    In: Craig Macdonald; Iadh Ounis; Ian Ruthven (Hrsg.). Proceedings of the 20th ACM Conference on Information and Knowledge Management. ACM International Conference on Information and Knowledge Management (CIKM-2011), October 24-28, Glasgow, United Kingdom, Pages 2273-2276, ACM, 2011.

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