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Doctoral Research Fellow

Trosten, Daniel Johansen

PhD Student / Machine Learning Department of Physics and Technology
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  • Trosten, Daniel Johansen; Jenssen, Robert; Kampffmeyer, Michael. Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. Proceedings of the Northern Lights Deep Learning Workshop 2021; Volum 2.s doi: 10.7557/18.5709.

  • Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael. Reconsidering Representation Alignment for Multi-View Clustering. Computer Vision and Pattern Recognition 2021. ISSN 1063-6919.

  • Trosten, Daniel Johansen; Sharma, Puneet. Unsupervised Feature Extraction – A CNN-Based Approach. (Omtale: https://link.springer.com/chapter/10.1007%2F978-3-030-20205-7_17) Springer 2019; Volum 11482 (7412) ISBN 978-3-030-20205-7. ISSN 0302-9743.s 197 - 208.s doi: 10.1007/978-3-030-20205-7_17.

  • Trosten, Daniel Johansen; Strauman, Andreas Storvik; Kampffmeyer, Michael C.; Jenssen, Robert. Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2019; Volum 2019-May. ISSN 1520-6149.s 3257 - 3261.s doi: 10.1109/ICASSP.2019.8682365.

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