Robert Jenssen
Title
Cited by
Cited by
Year
Information theoretic learning: Renyi's entropy and kernel perspectives
JC Principe
Springer Science & Business Media, 2010
8742010
Kernel entropy component analysis
R Jenssen
IEEE transactions on pattern analysis and machine intelligence 32 (5), 847-860, 2009
3132009
Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
M Kampffmeyer, AB Salberg, R Jenssen
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3122016
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
R Jenssen, D Roverso
International Journal of Electrical Power & Energy Systems 99, 107-120, 2018
1362018
Clustering using Renyi's entropy
R Jenssen, KE Hild, D Erdogmus, JC Principe, T Eltoft
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
1332003
An overview and comparative analysis of recurrent neural networks for short term load forecasting
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
arXiv preprint arXiv:1705.04378, 2017
1162017
The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels
R Jenssen, JC Principe, D Erdogmus, T Eltoft
Journal of the Franklin Institute 343 (6), 614-629, 2006
1012006
Spectral clustering of polarimetric SAR data with Wishart-derived distance measures
SN Anfinsen, R Jenssen, T Eltoft
Proc. POLinSAR 7, 1-9, 2007
902007
Independent component analysis for texture segmentation
R Jenssen, T Eltoft
Pattern Recognition 36 (10), 2301-2315, 2003
812003
Recurrent neural networks for short-term load forecasting: an overview and comparative analysis
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
Springer, 2017
752017
Mean shift spectral clustering
U Ozertem, D Erdogmus, R Jenssen
Pattern Recognition 41 (6), 1924-1938, 2008
742008
Time series cluster kernel for learning similarities between multivariate time series with missing data
KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, R Jenssen
Pattern Recognition 76, 569-581, 2018
702018
Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records
C Soguero-Ruiz, K Hindberg, JL Rojo-Álvarez, SO Skrøvseth, ...
IEEE journal of biomedical and health informatics 20 (5), 1404-1415, 2014
602014
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space.
R Jenssen, D Erdogmus, JC Príncipe, T Eltoft
NIPS, 625-632, 2004
512004
Kernel entropy component analysis for remote sensing image clustering
L Gómez-Chova, R Jenssen, G Camps-Valls
IEEE Geoscience and Remote Sensing Letters 9 (2), 312-316, 2011
502011
Information cut for clustering using a gradient descent approach
R Jenssen, D Erdogmus, KE Hild II, JC Principe, T Eltoft
Pattern Recognition 40 (3), 796-806, 2007
462007
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods
C Soguero-Ruiz, K Hindberg, I Mora-Jiménez, JL Rojo-Álvarez, ...
Journal of biomedical informatics 61, 87-96, 2016
432016
Training echo state networks with regularization through dimensionality reduction
S Løkse, FM Bianchi, R Jenssen
Cognitive Computation 9 (3), 364-378, 2017
412017
Optimizing the Cauchy-Schwarz PDF distance for information theoretic, non-parametric clustering
R Jenssen, D Erdogmus, KE Hild, JC Principe, T Eltoft
International Workshop on Energy Minimization Methods in Computer Vision and …, 2005
412005
Intelligent monitoring and inspection of power line components powered by UAVs and deep learning
N Nguyen, R Jenssen, D Roverso
IEEE Power and energy technology systems journal 6 (1), 11-21, 2019
402019
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