Daniel J. Trosten
Daniel J. Trosten
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Reconsidering representation alignment for multi-view clustering
DJ Trosten, S Lokse, R Jenssen, M Kampffmeyer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Recurrent deep divergence-based clustering for simultaneous feature learning and clustering of variable length time series
DJ Trosten, AS Strauman, M Kampffmeyer, R Jenssen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Unsupervised feature extraction–a cnn-based approach
DJ Trosten, P Sharma
Scandinavian Conference on Image Analysis, 197-208, 2019
Deep image clustering with tensor kernels and unsupervised companion objectives
DJ Trosten, MC Kampffmeyer, R Jenssen
arXiv preprint arXiv:2001.07026, 2020
Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives
DJ Trosten
UiT Norges arktiske universitet, 2019
RELAX: Representation Learning Explainability
KK Wickstrøm, DJ Trosten, S Løkse, KØ Mikalsen, MC Kampffmeyer, ...
arXiv preprint arXiv:2112.10161, 2021
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective
DJ Trosten, R Jenssen, MC Kampffmeyer
Proceedings of the Northern Lights Deep Learning Workshop 2, 2021
Supplementary material: Reconsidering Representation Alignment for Multi-view Clustering
DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer
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