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Publication profile

Robert Jenssen

Robert, Jenssen
Name: Robert Jenssen
Title: Professor II
Phone: (+47) 41699612
Email: Robert [dot] Jenssen [at] uit [dot] no
Scientific areas: Machine learning
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 Show publications

 

    Academic anthologies

    2009

    Salberg, Arnt Børre; Hardeberg, Jon Yngve; Jenssen, Robert (eds). Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings. Springer. (ISBN 3-642-02229-4). pp 779. 2009.

    Academic books

    2009

    Salberg, Arnt-Børre; Hardeberg, Jon Yngve; Jenssen, Robert. Image Analysis, 16th Scandinavian Conference Proceedings (SCIA), Oslo, Norway, June 2009, Springer Verlag Lecture Notes in Computer Science, LNCS 5575. : 2009

    Academic journal articles

    2017

    Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare; Jenssen, Robert. Multiplex visibility graphs to investigate recurrent neural network dynamics. Scientific Reports (ISSN 2045-2322). 7 doi: 10.1038/srep44037. 2017.

    Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. Deep kernelized autoencoders. Lecture Notes in Computer Science (ISSN 0302-9743). 10269 LNCS pp 419-430. doi: 10.1007/978-3-319-59126-1_35. 2017.

    Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert. Training Echo State Networks with Regularization Through Dimensionality Reduction. Cognitive Computation (ISSN 1866-9956). pp 1-15. doi: 10.1007/s12559-017-9450-z. 2017.

    Løkse, Sigurd; Bianchi, Filippo Maria; Salberg, Arnt Børre; Jenssen, Robert. Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data. Lecture Notes in Computer Science (ISSN 0302-9743). 10269 LNCS pp 431-442. doi: 10.1007/978-3-319-59126-1_36. 2017.

    Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Jensen, Kasper; Hindberg, Kristian; Gran, Mads; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav; Godtliebsen, Fred; Jenssen, Robert. Using anchors from free text in electronic health records to diagnose postoperative delirium. Computer Methods and Programs in Biomedicine (ISSN 0169-2607). 152 pp 105-114. doi: 10.1016/j.cmpb.2017.09.014. 2017.

    2016

    Blix, Katalin; Camps-Valls, Gustau; Jenssen, Robert. Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (ISSN 1939-1404). (99) pp 1-13. doi: 10.1109/JSTARS.2016.2641583. 2016.

    Izquierdo-Verdiguier, Emma; Laparra, Valero; Jenssen, Robert; Gómez-Chova, Luis; Camps-Valls, Gustau. Optimized kernel entropy components. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). PP(99) pp 1-7. doi: 10.1109/TNNLS.2016.2530403. 2016.

    Kampffmeyer, Michael C.; Salberg, Arnt-Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.

    Soguero-Ruiz, Cristina; Hindberg, Kristian; Rojo-Álvarez, José Luis; Skrøvseth, Stein Olav; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Augestad, Knut Magne; Jenssen, Robert. Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records. IEEE journal of biomedical and health informatics (ISSN 2168-2194). 20(5) pp 1404-1415. doi: 10.1109/JBHI.2014.2361688. 2016.

    Soguero-Ruiz, Cristina; Hindberg, Kristian; Mora-Jimenez, Inmaculada; Rojo-Álvarez, José Luis; Skrøvseth, Stein Olav; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Augestad, Knut Magne; Jenssen, Robert. Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. Journal of Biomedical Informatics (ISSN 1532-0464). 61 pp 87-96. doi: 10.1016/j.jbi.2016.03.008. 2016.

    2015

    Izquierdo-Verdiguier, Emma; Jenssen, Robert; Gómez-Chova, Luis; Camps-Valls, Gustavo. Spectral clustering with the probabilistic cluster kernel. Neurocomputing (ISSN 0925-2312). 149 pp 1299-1304. doi: 10.1016/j.neucom.2014.08.068. 2015.

    Soguero-Ruiz, Cristina; Wang, Fei; Jenssen, Robert; Augestad, Knut Magne; Álvarez, JL; Jiménez, Inmaculada Mora; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav. Data-driven Temporal Prediction of Surgical Site Infection. AMIA Annual Symposium Proceedings (ISSN 1942-597X). 2015.

    Soguero-Ruiz, Cristina; Jenssen, Robert. Kernel covariance series smoothing. IEEE Workshop on Machine Learning for Signal Processing (ISSN 2161-0363). 2015-November pp 1-6. doi: 10.1109/MLSP.2015.7324380. 2015.

    2014

    Salberg, Arnt Børre; Larsen, Siri Øyen; Jenssen, Robert. Classification of ocean surface slicks in hybrid-polarimetric SAR data. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 9244 doi: 10.1117/12.2067474. 2014.

    Vikjord, Vidar Vangen; Jenssen, Robert. Information theoretic clustering using a k-nearest neighbors approach. Pattern Recognition (ISSN 0031-3203). 47(9) pp 3070-3081. doi: 10.1016/j.patcog.2014.03.018. 2014.

    2013

    Jenssen, Robert; Vikjord, Vidar Vangen. A new information theoretic clustering algorithm based on k-nn. IEEE Workshop on Machine Learning for Signal Processing (ISSN 2161-0363). pp 1-6. doi: 10.1109/MLSP.2013.6661968. 2013.

    Jenssen, Robert. Entropy-relevant dimensions in the kernel feature space. IEEE signal processing magazine (Print) (ISSN 1053-5888). 30(4) pp 30-39. doi: 10.1109/MSP.2013.2249692. 2013.

    Jenssen, Robert. Mean vector component analysis: A New approach to un-centered PCA for non-negative data. IEEE Workshop on Machine Learning for Signal Processing (ISSN 2161-0363). pp 1-6. doi: 10.1109/MLSP.2013.6661966. 2013.

    Jenssen, Robert. Mean Vector Component Analysis for Visualization and Clustering of Nonnegative Data. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). 24(10) pp 1553-1564. doi: 10.1109/TNNLS.2013.2262774. 2013.

    2012

    Gómez-Chova, Luis; Jenssen, Robert; Camps-Valls, Gustavo. Kernel Entropy Component Analysis for Remote Sensing Image Clustering. IEEE Geoscience and Remote Sensing Letters (ISSN 1545-598X). 9(2) pp 312-316. doi: 10.1109/LGRS.2011.2167212. 2012.

    Jenssen, Robert; Kloft, Marius; Zien, Alexander; Sonnenburg, Soeren; Müller, Klaus R.. A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines. PLoS ONE (ISSN 1932-6203). 7(10) doi: 10.1371/journal.pone.0042947. 2012. Institutional archive 

    Salberg, Arnt Børre; Jenssen, Robert. Land-cover classification of partly missing data using support vector machines. International Journal of Remote Sensing (ISSN 0143-1161). 33(14) pp 4471-4481. doi: 10.1080/01431161.2011.648378. 2012.

    2010

    Jenssen, Robert. Kernel Entropy Component Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN 0162-8828). 32(5) pp 847-860. doi: 10.1109/TPAMI.2009.100. 2010.

    2008

    Ozertem, Umut; Erdogmus, Deniz; Jenssen, Robert. Mean shift spectral clustering. Pattern Recognition (ISSN 0031-3203). 41 pp 1924-1938. doi: 10.1016/j.patcog.2007.09.009. 2008.

    2007

    Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth; Principe, Jose; Eltoft, Torbjørn. Information Cut for Clustering using a Gradient Descent Approach. Pattern Recognition (ISSN 0031-3203). 40 pp 796-806. 2007.

    Jenssen, Robert; Erdogmus, Deniz; Principe, Jose C.; Eltoft, Torbjørn. The Laplacian classifier. IEEE Transactions on Signal Processing (ISSN 1053-587X). 55 pp 3262-3271. doi: 10.1109/TSP.2007.894391. 2007.

    2006

    Erdogmus, Deniz; Jenssen, Robert; Rao, Yadunandana; Principe, Jose. Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology (ISSN 0922-5773). 45 pp 67-83. 2006.

    Jenssen, Robert; Eltoft, Torbjørn; Erdogmus, Deniz; Principe, Jose. Some Equivalences Between Kernel Methods and Information Theoretic Methods. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology (ISSN 0922-5773). 45 pp 49-65. 2006.

    Jenssen, Robert; Principe, Jose; Erdogmus, Deniz; Eltoft, Torbjørn. The Cauchy-Schwarz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels. Journal of the Franklin Institute (ISSN 0016-0032). 343 pp 614-629. 2006.

    Ozertem, Umut; Erdogmus, Deniz; Jenssen, Robert. Spectral feature projections that maximize Shannon mutual information with class labels. Pattern Recognition (ISSN 0031-3203). 39 pp 1241-1252. 2006.

    2005

    Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth E.; Principe, Jose c.; Eltoft, Torbjørn. Optimizing the Cauchy-Schwarz PDF distance for information theoretic, non-parametric clustering. Lecture Notes in Computer Science (ISSN 0302-9743). 3757 2005.

    2003

    Jenssen, Robert; Eltoft, Torbjørn. Independent Component Analysis for Texture Segmentation. Pattern Recognition (ISSN 0031-3203). 36(10) pp 2301-2315. 2003.

    Academic chapters

    2017

    Luppino, Luigi Tommaso; Anfinsen, Stian Normann; Moser, Gabriele; Jenssen, Robert; Bianchi, Filippo Maria; Serpico, Sebastian Bruno; Mercier, Gregoire. A clustering approach to heterogeneous change detection. In: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. (ISBN 978-3-319-59128-5). pp 181-192. doi: 10.1007/978-3-319-59129-2_16. 2017.

    2015

    Myhre, Jonas Nordhaug; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Consensus Clustering Using kNN Mode Seeking. In: Image Analysis : 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings. (ISBN 978-3-319-19665-7). pp 175-186. doi: 10.1007/978-3-319-19665-7_15. 2015.

    2012

    Jenssen, Robert; Myhre, Jonas Nordhaug. MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO. In: PROCEEDINGS OF MLSP2012. (ISBN 978‐1‐4673‐1026‐0). pp 1-6. 2012. Full-text 

    2010

    Jenssen, Robert; Principe, J. C.; Gockay, E.; Rao, S.. Clustering with ITL Principles. In: Information Theoretic Learning: Renyi Entropy and Kernel Perspectives. (ISBN 978-1-4419-1569-6). pp 263-298. 2010. Data 

    Jenssen, Robert; Principe, J. C.; Xu, Jianwu; Paiva, Antonio. A Reproducing Kernel Kernel Hilbert Space Framework for ITL. In: Information Theoretic Learning: Renyi Entropy and Kernel Perspectives. (ISBN 978-1-4419-1569-6). pp 351-384. 2010. Data 

    2009

    Jenssen, Robert; Storås, Ola Kvisle. Kernel Entropy Component Analysis Pre-Images for Pattern Denoising. In: Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings. (ISBN 3-642-02229-4). pp 626-635. 2009. Review 

    Jenssen, Robert. Information Theoretic Learning and Kernel Methods. In: Information Theory and Statistical Learning. (ISBN 978-0-387-84815-0). pp 209-230. 2009. Data 

    Academic lectures

    2016

    Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. Workshop, IEEE Conference on Computer Vision and Pattern Recognition Workshops; Las Vegas, 01.07.2016. Full-text 

    Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Lindsetmo, Rolv-Ole; Revhaug, Arthur; Jenssen, Robert. Learning similarities between irregularly sampled short multivariate time series from EHRs. Workshop, 3rd International Workshop on Pattern Recognition for Healthcare Analytics at ICPR 2016; Cancun, 04.12.2016. Institutional archive 

    Myhre, Jonas; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Robust Non-Parametric Mode Clustering. Konferanse, NIPS workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning, 10.12.2016.

    2015

    Blix, Katalin; Camps-Valls, Gustavo; Jenssen, Robert. Sensitivity Analysis of Gaussian Processes for Oceanic Chlorophyll Prediction. Konferanse, IGARSS, 26.06.2015 - 01.07.2015.

    Soguero-Ruiz, Cristina; Hindberg, Kristian; Mora-Jimenez, Inmaculada; Rojo-Alvarez, Jose Luis; Skrøvseth, Stein Olav; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Augestad, Knut Magne; Jenssen, Robert. Prediction of Surgical Complications using Heterogeneous Clinical Data and Kernel Methods. Konferanse, NIPS workshop on machine learning in healthcare, 10.12.2015.

    Soguero-Ruiz, Cristina; Jenssen, Robert. Kernel Covariance Series Smoothing. Konferanse, IEEE Conf. Machine Learning for Signal Processing, 17.09.2015 - 20.09.2015.

    2014

    Soguero-Ruiz, Cristina; Mora-Jimenez, Inmaculada; Rojo-Alvarez, Jose Luis; Hindberg, Kristian; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav; Augestad, Knut Magne; Jenssen, Robert. Feature selection using Kernel Component Analysis For Early Detection Of Anastomosis Leakage. Workshop, 2nd International Workshop on Pattern Recognition for Healthcare Analytics; Stockholm, 24.08.2014.

    2013

    Jenssen, Robert. Machine learning and applications at the University of Tromso. Gjesteforelesning, Steering Committee Meeting at the Univ Antwerp; University of Antwerp, 19.06.2013.

    Jenssen, Robert. Mean vector component analysis: A New approach to un-centered PCA. Konferanse, IEEE Machine Learning for Signal Processing, 22.09.2013 - 25.09.2013.

    Jenssen, Robert. Entropy-Relevant Dimensions in Kernel Feature Space. Gjesteforelesning, University College London, Center for Computational Statistics and Machine Learning Lunch Talk, 05.04.2013.

    Jenssen, Robert; Vikjord, Vidar. A new information theoretic clustering algorithm based on k-nn. Konferanse, IEEE Workshop on machine learning for signal processing, 22.09.2013 - 25.09.2013.

    2012

    Jenssen, Robert. Kernel Entropy Component Analysis: A Unifying View. Seminar, Invited Talk DTU Informatics and the Signal Processing Chapter of the IEEE Denmark Section., 09.11.2012.

    Jenssen, Robert. NST - IBM Workshop: Machine Learning @ UiT. Seminar, NST - IBM Workshop, 01.11.2012.

    Jenssen, Robert. Background on Information Theoretic Learning. Gjesteforelesning, Talk at the DTU Informatics (Technical University of Denmark), 04.10.2012.

    Myhre, Jonas Nordhaug; Jenssen, Robert. MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO. Konferanse, IEEE Workshop in Machine Learning for Signal Processing, 23.09.2012 - 26.09.2012.

    2011

    Gomez-Chova, Luis; Jenssen, Robert; Camps-Valls, Gustavo. Kernel Entropy Component Analysis in Remote Sensing Data Clustering. Konferanse, International Geoscience and Remote Sensing Symposium, 24.07.2011 - 29.07.2011.

    Jenssen, Robert; Kloft, Marius; Sonnenburg, Soeren; Zien, Alexander; Muller, Klaus-Robert. A New Scatter-Based Multi-Class Support Vector Machine. Konferanse, IEEE Workshop on Machine Learning for Signal Processing, 18.09.2011 - 21.09.2011.

    Jenssen, Robert. Kernel Entropy Component Analysis: New Theory and Semi-Supervised Learning. Konferanse, IEEE Workshop on Machine Learning for Signal Processing, 18.09.2011 - 21.09.2011.

    Jenssen, Robert. Kernel Entropy Component Analysis. Gjesteforelesning, Invitert foredrag Technical University of Berlin, 05.08.2011.

    2008

    Jenssen, Robert. New Information Theoretic Learning and Kernel Methods. Workshop, Keynote talk, NOBIM 2008 Conference, 05.06.2008 - 06.06.2008.

    2007

    Anfinsen, Stian Normann; Jenssen, Robert; Eltoft, Torbjørn. Spectral Clustering of Polarimetric SAR Data with Wishart Derived Distance Measure. Workshop, Proc. 3rd Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR 2007); Frascati, 22.01.2007 - 26.01.2007. Full-text 

    Jenssen, Robert. Indefinite Parzen Window for Spectral Clustering. Konferanse, IEEE Conference on Machine Learning for Signal Processing, 27.08.2007 - 29.08.2007.

    2006

    Anfinsen, Stian Normann; Jenssen, Robert; Eltoft, Torbjørn. Classification of Polarimetric SAR Data with an Information Theoretic Kernel Method. Konferanse, International Geoscience and Remote Sensing Symposium; Denver, 31.07.2006 - 04.08.2006.

    2005

    Xu, Jianwu; Erdogmus, Deniz; Jenssen, Robert; Principe, Jose. An Information Theoretic Perspective to Kernel Independent Component Analysis. Konferanse, International Conference on Acoustics, Speech and Signal Processing, 16.03.2005 - 23.03.2005.

    2004

    Jenssen, Robert. The Information Cut and Graph Spectral Clustering. Seminar, Invited Talk at the Computational NeuroEngineering Laboratory, University of Florida, 03.03.2004.

    2003

    Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth E.; Principe, Jose c.; Eltoft, Torbjørn. Information Force Clustering using Directed Trees. Konferanse, Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition; Lisbon, 07.07.2003 - 09.07.2003.

    Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth E.; Principe, Jose c.; Eltoft, Torbjørn. Clustering using Renyi's Entropy. Konferanse, Int. Joint Conference on Neural Networks; Portland, 20.07.2003 - 24.07.2003.

    Jenssen, Robert; Principe, Jose c.; Eltoft, Torbjørn. Information Cut and Information Forces for Clustering. Konferanse, IEEE Int. Workshop on Neural Networks for Signal Processing; Toulouse, 17.09.2003 - 19.09.2003.

    Jenssen, Robert; Principe, Jose c.; Eltoft, Torbjørn. Cauchy-Schwartz pdf Divergence Measure for non-Parametric Clustering. Konferanse, Norwgian Symposium in Signal Processing 2003; Bergen, 02.10.2003 - 04.10.2004.

    2001

    Jenssen, Robert; Øigård, Tor Arne; Eltoft, Torbjørn; Hanssen, Alfred. Sparse code shrinkage based on the normal inverse Gaussian density model. Konferanse, 3rd Int. Conf. on Independent Component Analysis and Blind Signal Separation; San Diego, CA, 09.12.2001 - 12.12.2001.

    Jenssen, Robert; Øigård, Tor Arne; Eltoft, Torbjørn; Hanssen, Alfred. Sparse code shrinkage based on the normal inverse Gaussian density model. Seminar, Proceedings of NORSIG'01; Trondheim, 01.10.2001.

    Scientific lectures

    2014

    Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Augestad, Knut Magne; Jenssen, Robert. Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. Gjesteforelesning, Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on, 01.06.2014 - 04.06.2014.

    Posters at scientific conferences

    2016

    Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs. CIFAR-CRM Deep Learning Summer School 2016, 07.08.2016.

    Myhre, Jonas Nordhaug; Jenssen, Robert; Erdogmus, Deniz; Shaker, Matineh; Kaba, M. Devrim. Geometric interpretation of density ridges. Geometry in Machine Learning workshop at ICML 2016, 26.06.2016.

    Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning, 23.06.2016.

    2015

    Mikalsen, Karl Øyvind; Jenssen, Robert; Godtliebsen, Fred; Skrøvseth, Stein Olav; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Hindberg, Kristian; Soguero-Ruiz, Cristina; Jensen, Kasper; Gran, Mads. Predicting Postoperative Delirium Using Anchors. NIPS 2015 Workshop on Machine Learning in Healthcare; Montreal, 15.12.2015.

    2014

    Agersborg, Jørgen Andreas; Jenssen, Robert. Mean Shift Spectral Clustering Using Kernel Entropy Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing; Reims, 21.09.2014 - 26.09.2014. Abstract 

    2006

    Hild, Kenneth E.; Jenssen, Robert. Experimental Upper Bound for Convolutive Mixtures of Speech by Maximizing SIR. IEEE Machine Learning for Signal Processing Conference, 06.09.2006 - 08.09.2006.

    Jenssen, Robert; Girolami, Mark; Eltoft, Torbjørn; Erdogmus, Deniz. Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. Advances in Neural Information Processing Systems Conference, 03.12.2006 - 10.12.2006.

    Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. International Joint Conference on Neural Networks, 16.07.2006 - 21.07.2006.

    Jenssen, Robert; Eltoft, Torbjørn. An Information Theoretic Perspective to Kernel K-Means. IEEE Machine Learning for Signal Processing Conference, 06.09.2006 - 08.09.2006.

    2005

    Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. The Laplacian Spectral Classifier. International Conference on Acoustics, Speech and Signal Processing, 16.03.2005 - 23.03.2005.

    Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth; Principe, Jose; Eltoft, Torbjørn. Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-Parametric Clustering. Energy Minimization Methods in Computer Vision and Pattern Recognition, 09.11.2005 - 11.11.2005.

    2004

    Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. Neural Information Processing Systems, 08.12.2004 - 13.12.2004.

    2003

    Erdogmus, Deniz; Fontela-romero, O.; Principe, Jose; Alonso-betanzos, A.; Castillo, E.; Jenssen, Robert. Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response. Int'l. Joint Conference on Neural Networks, 20.07.2003 - 24.07.2003.

    Jenssen, Robert; Eltoft, Torbjørn. ICA Filter Bank for Segmentation of Textured Images. Int. Workshop on Independent Component Analysis and Blind Signal Separation; Nara, 01.04.2003 - 04.04.2003.

    Popular scientific lectures

    2012

    Jenssen, Robert. Machine Learning for Data Analysis @ UiT. Talk at the Norwegian Centre for Integrated Care and Telemedicine., 20.06.2012.

    2011

    Jenssen, Robert. Machine Learning @ UiT. Studentforeninga Momentum, 15.11.2011.

    2010

    Jenssen, Robert. "Intelligente" læringssystemer: Fra leken Furby til spamfiltre til miljø. Science - who cares?; Fakultet for naturvitenskap og teknologi, UiT, Linken Tromsø, 02.09.2010.

    2008

    Jenssen, Robert. Maskinlæring for Dataanalyse: Eksempler på anvendelser, "close-up" på spamfilter og Google PageRank. Populærvitenskapelig forelesning i forbindelse med klassebesøk fra Honningsvåg på IFT, 06.02.2008.

    Jenssen, Robert. Maskinlæring for Dataanalyse: Eksempler på anvendelser, "close-up" på spamfilter og Google PageRank. Mat.-Nat. populærvitenskapelig foredragsserie, 01.02.2008.

    2005

    Anfinsen, Stian Normann; Jenssen, Robert. Presentasjon av Institutt for fysikk, Forskningstorget 2005. Forskningstorget 2005, 23.09.2005 - 24.09.2005.

    2004

    Erdogmus, Deniz; Jenssen, Robert; Rao, Yadunandana; Principe, Jose. Multivariate Density Estimation with Optimal Marginal Parzen Density Estimation and Gaussianization. Machine Learning for Signal Processing, 29.09.2004 - 01.10.2004.

    Jenssen, Robert. Fysikk som Rocker: Multikonsert og hjernesignaler. Forskningstorget 2004, 17.09.2004.

    Jenssen, Robert; Eltoft, Torbjørn; Principe, Jose. Information Theoretic Spectral Clustering. International Joint Conference on Neural Networks, 25.07.2004 - 29.07.2004.

    Jenssen, Robert; Eltoft, Torbjørn; Principe, Jose. Information Theoretic Clustering: A Unifying Review of Three Recent Algorithms. Nordic Symposium on Signal Processing, 09.06.2004 - 11.06.2004.

    Jenssen, Robert. Fysikk som Rocker: Multikonsert og hjernesignaler. Forskningstorget 2004, 18.09.2004.

    Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. Towards a Unification of Information Theoretic Learning and Kernel Methods. Machine Learning for Signal Processing, 29.01.2004 - 01.10.2004.

    2003

    Jenssen, Robert. Fysikk som Rocker. Forskningstorget 2003, 19.09.2003.

    Jenssen, Robert. Fysikk som Rocker. Forskningstorget 2003, 20.09.2003.

    2002

    Jenssen, Robert. CD-spilleren og Multikonsert. Kreativ uke 2002, 12.03.2002.

    Jenssen, Robert. Institutt for Fysikk - Presentasjon til Ungdomskoleelever. Presentasjon av Institutt for Fysikk, 14.06.2002.

    Jenssen, Robert. CD-spilleren og Multikonsert. Presentasjon av Institutt for Fysikk, 11.03.2002.

    Jenssen, Robert. CD-spilleren og Multikonsert. Presentasjon av Institutt for Fysikk, 06.03.2002.

    Jenssen, Robert. Taleseparering, CD-spiller og multikonsert. Åpen dag, Institutt for Fysikk, 2002, 08.01.2002.

    Jenssen, Robert. Taleseparering. Åpen dag, Institutt for Fysikk 2002, 07.01.2002.

    2001

    Jenssen, Robert. CD-spillerens virkemåte. Ingeniørenes dag 2001, 19.09.2001.

    Jenssen, Robert. CD-spillerens virkemåte. Ingeniørenes dag 2001, 29.09.2001.

    Articles in business, trade and industry journals

    2010

    Jenssen, Robert; Principe, J. C.. Information theoretic clustering. Scholarpedia (ISSN 1941-6016). doi: 10.4249/scholarpedia.5189. 2010. Data 

    Media, interviews

    2003

    Hanssen, Alfred; Jenssen, Robert; Hindberg, Kristian. Fysikk som rocker. 2003. [Radio] 22.09.2003.

    Hanssen, Alfred; Jenssen, Robert; Hindberg, Kristian. Fysikk som rocker. 2003. [Radio] 22.09.2003.

    Hanssen, Alfred; Jenssen, Robert; Hindberg, Kristian. Fysikk som rocker. 2003. [Radio] 22.09.2003.

    Chapter

    2016

    Vikjord, Vidar Vangen; Jenssen, Robert. INFORMATION THEORETIC CLUSTERING USING A k-NEAREST NEIGHBORS-BASED DIVERGENCE MEASURE. 2016.

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Postadresse: Norsk Regnesentral, Postboks 114 Blindern, 0314 Oslo
Besøksadresse: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, 0373 Oslo
Tlf: (+47) 22 85 25 00
AdresseHvordan komme til NR