Sigurd Løkse
TittelSitert avÅr
Training echo state networks with regularization through dimensionality reduction
S Løkse, FM Bianchi, R Jenssen
Cognitive Computation 9 (3), 364-378, 2017
262017
Robust clustering using a kNN mode seeking ensemble
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Pattern Recognition 76, 491-505, 2018
152018
Deep kernelized autoencoders
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Scandinavian Conference on Image Analysis, 419-430, 2017
122017
Reservoir computing approaches for representation and classification of multivariate time series
FM Bianchi, S Scardapane, S Løkse, R Jenssen
arXiv preprint arXiv:1803.07870, 2018
62018
Consensus clustering using kNN mode seeking
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Scandinavian Conference on Image Analysis, 175-186, 2015
62015
Bidirectional deep-readout echo state networks
FM Bianchi, S Scardapane, S Løkse, R Jenssen
arXiv preprint arXiv:1711.06509, 2017
42017
Spectral Clustering Using PCKID – A Probabilistic Cluster Kernel for Incomplete Data
S Løkse, FM Bianchi, AB Salberg, R Jenssen
Scandinavian Conference on Image Analysis, 431-442, 2017
42017
Deep divergence-based approach to clustering
M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks, 2019
32019
The deep kernelized autoencoder
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Applied Soft Computing 71, 816-825, 2018
22018
Joint ranking and clustering based on Markov Chain transition probabilities learned from data
S Løkse
UiT Norges arktiske universitet, 2014
2014
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Artikler 1–10