Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Trosten, Daniel Johansen"'
Publikováno v:
Trosten, D.J.; Sharma, P. (2019) Unsupervised Feature Extraction – A CNN-Based Approach. I: Felsberg, M, Forssén, P.E.., Sintorn, I.M.; Unger, J. 21st Scandinavian Conference on Image Analysis, SCIA, 2019, Springer, Lecture Notes in Computer Science, vol 11482,, 197-208.
Externí odkaz:
https://hdl.handle.net/10037/17792
Autor:
Trosten, Daniel Johansen, Løkse, Sigurd Eivindson, Jenssen, Robert, Kampffmeyer, Michael Christian
Publikováno v:
Trosten, Løkse, Jenssen, Kampffmeyer. Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognition. 2024;149
Externí odkaz:
https://hdl.handle.net/10037/34053
Autor:
Trosten, Daniel Johansen, Chakraborty, Rwiddhi, Løkse, Sigurd Eivindson, Wickstrøm, Kristoffer, Jenssen, Robert, Kampffmeyer, Michael
Publikováno v:
Trosten, Chakraborty, Løkse, Wickstrøm, Jenssen, Kampffmeyer. Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. Computer Vision and Pattern Recognition. 2023:7527-7536
Externí odkaz:
https://hdl.handle.net/10037/32935
Autor:
Wickstrøm, Kristoffer, Trosten, Daniel Johansen, Løkse, Sigurd Eivindson, Boubekki, Ahcene, Mikalsen, Karl Øyvind, Kampffmeyer, Michael, Jenssen, Robert
Publikováno v:
Wickstrøm, Trosten, Løkse, Boubekki, Mikalsen, Kampffmeyer, Jenssen. RELAX: Representation Learning Explainability. International Jo
Externí odkaz:
https://hdl.handle.net/10037/30298
Publikováno v:
Trosten, Løkse, Jenssen, Kampffmeyer. On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. Computer Vision and Pattern Recognition. 2023:23976-23985
Externí odkaz:
https://hdl.handle.net/10037/32961
Publikováno v:
Trosten, Jenssen, Kampffmeyer. Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. Proceedings of the Northern Lights Deep Learning Workshop. 2021;2
Externí odkaz:
https://hdl.handle.net/10037/21442