Line Eikvil

«In the 90s, everybody knew that AI didn't work.» Hvorfor hadde Sergey Brin rett da han sa det? , 2024. Programledelse

Fredrik Andreas Dahl; Olav Brautaset; Marit Holden; Line Eikvil; Marthe Larsen; et al. En to-trinns kunstig intelligens modell for deteksjon av brystkreft i mammogrammer 2024. Faglig foredrag

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Faglig foredrag

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Poster

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; Utilizing earlier images in mammography cancer detection 2023. Poster

Amund Hansen Vedal; Line Eikvil; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2023. Rapport

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Vitenskapelig foredrag

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Poster

Olav Brautaset; Ingrid Utseth; Line Eikvil; Arnt-Børre Salberg; Nils Olav Handegard; Learning from weakly labelled marine acoustic data 2023. Vitenskapelig foredrag

Arnt-Børre Salberg; Line Eikvil; Out-of-distribution detection in deep neural networks applied to marine data 2023. Poster

Fredrik Andreas Dahl; Olav Brautaset; Marit Holden; Line Eikvil; Marthe Larsen; et al. A two-stage mammography classification model using explainable-AI for ROI detection Nordic Machine Intelligence (NMI), vol. 3, pp. 7 , (ISSN 2703-9196 2703-9196 ), doi: https://doi.org/10.5617/nmi.10459 , 2023. Vitenskapelig artikkel

Fredrik Andreas Dahl; Line Eikvil; Ingunn Fride Tvete; Pierre Lison; Ildikó Pilán; et al. Helse-effektivisering - et mulig satsningsområde for NR 2023. Rapport

Amund Hansen Vedal; Line Eikvil; Marit Holden; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using a Graph Convolution Network 2022. Poster

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A mammography classification model trained from image labels only 2022. Poster

Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Line Eikvil; Explainability and uncertainty for classification of mammograms 2022. Poster

Alba Ordonez; Line Eikvil; Arnt-Børre Salberg; Alf Harbitz; Bjarki Thor Elvarsson; Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation Fishes, vol. 7, pp. 1 16 15 , (ISSN 2410-3888 2410-3888 ), doi: https://doi.org/10.3390/fishes7020071 , 2022. Vitenskapelig artikkel

Line Eikvil; Slik bruker vi norske mammogrammer for å utvikle et maskinlæringssystem 2022. Faglig foredrag

Line Eikvil; Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Solveig Hofvind; et al. Procedures for mammographic screening with machine learning 2022. Rapport

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; Machine learning for screening mammography 2022. Rapport

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A mammography classification model trained from image labels only Proceedings of the Northern Lights Deep Learning Workshop, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.6244 , 2022. Vitenskapelig artikkel

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A two-stage mammography classification model using XAI for ROI detection 2022. Poster

Amund Hansen Vedal; Line Eikvil; Marit Holden; Andrew Gilbert; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2022. Vitenskapelig foredrag

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt Børre Salberg; et al. Improving marine acoustic target classification with context information 2022. Poster

Fredrik Andreas Dahl; Amund Hansen Vedal; Line Eikvil; Analyzing breast positioning in mammograms with graph convolutional networks 2022. Vitenskapelig foredrag

Line Eikvil; Kristin Skeide Fuglerud; Dahl Fredrik; Till Halbach; Jarle Petterson; Kunstig intelligens avlaster travle spesialister , 2022. Intervju

Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretation, Development and experiments 2021-2022 2022. Rapport

Thordis Linda Thorarinsdottir; Thea Julie Thømt Roksvåg; Line Eikvil; Birdcam: Automatic monitoring of birds near wind parks 2022. Rapport

Line Eikvil; Marit Holden; Alba Ordonez; Machine learning for image-based interpretation of non-verbal communication - Initial version 2021. Rapport

Line Eikvil; Marit Holden; Lars Holden; Olav Brautaset; Machine learning for screening mammography 2021. Rapport

Changkyu Choi; Michael Kampffmeyer; Nils Olav Handegard; Arnt Børre Salberg; Olav Brautaset; et al. Semi-supervised target classification in multi-frequency echosounder data ICES Journal of Marine Science, vol. 78, pp. 2615 2627 12 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsab140 , 2021. Vitenskapelig artikkel

Nils Olav Handegard; Tonny Algrøy; Line Eikvil; Hege Hammersland; Maria Tenningen; et al. Smart Fisheries in Norway: Partnership between Science, Technology, and the Fishing Sector Journal of Ocean Technology, vol. 16, pp. 11 18 7 , (ISSN 1718-3200 1718-3219 ), , 2021. Fagartikkel

Nils Olav Handegard; Line Eikvil; Robert Jenssen; Michael Kampffmeyer; Arnt Børre Salberg; et al. Machine Learning + Marine Science: Critical Role of Partnerships in Norway Journal of Ocean Technology, vol. 16, pp. 1 9 8 , (ISSN 1718-3200 1718-3219 ), , 2021. Fagartikkel

Robert Jenssen; Anne H Schistad Solberg; Line Eikvil; Norge er verdensledende på bildeanalyse med kunstig intelligens 2021. Intervju

Alba Ordonez; Line Eikvil; Marit Holden; Learning motion of seismic structures without human labelling 2021. Vitenskapelig foredrag

Alba Ordonez; Alf Harbitz; Bjarki Elvarsson; Line Eikvil; Arnt-Børre Salberg; Deep domain adaptation applied to automatic fish age prediction 2021. Vitenskapelig foredrag

Alba Ordonez; Ingrid Utseth; Line Eikvil; Nils Olav Handegard; Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species 2021. Vitenskapelig foredrag

Changkyu Choi; Michael Kampffmeyer; Nils Olav Handegard; Arnt Børre Salberg; Line Eikvil; et al. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data 2021. Poster

Ingrid Utseth; Alba Ordonez; Line Eikvil; Olav Brautaset; Arnt-Børre Salberg; et al. Improving marine acoustic target classification with context information 2021. Poster

Line Eikvil; Deep Learning for Norwegian Breast Cancer Screening 2021. Faglig foredrag

Line Eikvil; Marit Holden; Alba Ordonez; Machine learning for image-based interpretation of non-verbal communication 2021. Rapport

Ketil Malde; Nils Olav Handegard; Line Eikvil; Arnt Børre Salberg; Machine intelligence and the data-driven future of marine science ICES Journal of Marine Science, pp. 12 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsz057 , 2020. Vitenskapelig artikkel

Olav Brautaset; Anders Ueland Waldeland; Espen Johnsen; Ketil Malde; Line Eikvil; et al. Acoustic classification in multifrequency echosounder data using deep convolutional neural networks ICES Journal of Marine Science, vol. 77, pp. 1391 1400 , (ISSN 1054-3139 1095-9289 ), doi: https://doi.org/10.1093/icesjms/fsz235 , 2020. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Lars Holden; Olav Brautaset; Machine learning for screening mammography - Initial analyses on a first limited dataset 2020. Rapport

Alba Ordonez; Line Eikvil; Arnt-Børre Salberg; Alf Harbitz; Sean Meling Murray; et al. Explaining decisions of deep neural networks used for fish age prediction PLOS ONE, vol. 15, pp. 19 , (ISSN 1932-6203 1932-6203 ), doi: https://doi.org/10.1371/journal.pone.0235013 , 2020. Vitenskapelig artikkel

Andrew David Gilbert; Marit Holden; Line Eikvil; Mariia Rakhmail; Aleksandar Babic; et al. User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing IEEE journal of biomedical and health informatics, pp. 12 , (ISSN 2168-2194 2168-2208 ), doi: https://doi.org/10.1109/JBHI.2020.3029392 , 2020. Vitenskapelig artikkel

Alba Ordonez; Line Eikvil; Arnt Børre Salberg; Alf Harbitz; Understanding a Neural Network by Visualization: Application to Fish Age Prediction 2020. Poster

Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretations - Development and experiments 2020 2020. Rapport

Line Eikvil; Alba Ordonez; Olav Brautaset; Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches 2020. Rapport

Line Eikvil; Teknologien bak ansiktsgjenkjenning 2020. Faglig foredrag

Line Eikvil; Applying AI and ML to images 2020. Faglig foredrag

Line Eikvil; Norske forskere utvikler en ny metode for å finne brystkreft 2020. Intervju

Line Eikvil; Google har utviklet kunstig intelligens som gjenkjenner brystkreft bedre enn radiologer - Kreftregisteret og Norsk Regnesentral lager norsk variant 2020. Intervju

Arnt Børre Salberg; Line Eikvil; The COGMAR project: Ubiquitous cognitive computer vision for marine services 2019. Faglig foredrag

Line Eikvil; Marit Holden; Maskinlæring i mammografiprogrammet 2019. Faglig foredrag

Andrew David Gilbert; Marit Holden; Line Eikvil; Svein Arne Aase; Eigil Samset; et al. Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach Lecture Notes in Computer Science (LNCS), vol. 11798 LNCS, pp. 29 37 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-030-32875-7_4 , 2019. Vitenskapelig artikkel

Arnt Børre Salberg; Line Eikvil; Ketil Malde; Nils Olav Handegard; The COGMAR project 2019. Vitenskapelig foredrag

Sean Meling Murray; Line Eikvil; Arnt Børre Salberg; Automatic interpretation of otoliths with deep learning - explaining predictions 2019. Rapport

Alba Ordonez; Line Eikvil; Arnt Børre Salberg; Visualization of deep neural networks applied to fish age prediction 2019. Rapport

Line Eikvil; Marit Holden; Ragnar Hauge; Vegard Berg Kvernelv; Estimation of rock cuttings size from images 2019. Rapport

Line Eikvil; Marit Holden; Deep learning for ultrasound images - next steps 2019. Rapport

Line Eikvil; Anders U. Waldeland; Marit Holden; Arnt Børre Salberg; Ragnar Hauge; et al. Deep learning in seismic interpretation 2019. Rapport

Line Eikvil; Lars Holden; Bruk av Deep learning and Big Data i Mammografiprogrammet 2018. Faglig foredrag

Line Eikvil; Intelligent og automatisk bildeanalyse med deep learning 2018. Faglig foredrag

Line Eikvil; Intelligent og automatisk bildeanalyse med deep learning 2018. Populærvitenskapelig foredrag

Line Eikvil; Marit Holden; Deep learning for ultrasound images 2018. Rapport

Line Eikvil; Arnt Børre Salberg; En revolusjon innen maskinlæring Teknisk Ukeblad, (ISSN 0040-2354 ), 2016. Kronikk

Arnt Børre Salberg; Line Eikvil; Deep learning: a powerful tool to solve your computer vision problems 2016. Vitenskapelig foredrag

Arnt Børre Salberg; Line Eikvil; Deep learning 2016. Vitenskapelig foredrag

Arnt Børre Salberg; Line Eikvil; Deep learning: machine learning meets big data 2016. Vitenskapelig foredrag

Line Eikvil; Bruk av MR-bilder for estimering av skjelettalder. 2016. Rapport

Line Eikvil; Marit Holden; Fjerning av støy fra historiske dokumenter 2016. Rapport

Marion Haugen; Line Eikvil; Ingunn Fride Tvete; Sigrid Ingeborg Kvaal; Development of improved methods or basis for medical age assessments of minors and young adults , 2016. Rapport

Line Eikvil; Tor-Kristian Jenssen; Marit Holden; Multi-focus cluster labeling Journal of Biomedical Informatics, vol. 55, pp. 116 123 , (ISSN 1532-0464 1532-0480 ), doi: https://doi.org/10.1016/j.jbi.2015.03.012 , 2015. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Bruk av fargedeskriptorer for gjenkjenning av ukeblader 2015. Rapport

Line Eikvil; Marit Holden; Utvalg av deskriptorer for oppbygging av database 2015. Rapport

Line Eikvil; Marit Holden; Verifikasjon av strekkoder 2015. Rapport

Line Eikvil; Marit Holden; Evaluation of Binary Descriptors for Fast and Fully Automatic Identification International Conference on Pattern Recognition, pp. 154 159 , (ISSN 1051-4651 ), doi: https://doi.org/10.1109/ICPR.2014.36 , 2014. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Evaluation of binary descriptors for fast and fully automatic identification 2014. Vitenskapelig foredrag

Lars Holden; Line Eikvil; Marit Holden; Svetlana Boudko; Historisk informasjon fra avisarkiv 2014. Rapport

Line Eikvil; Marit Holden; Robust klassifikasjon av ukeblader 2014. Rapport

Siri Øyen Larsen; Arnt Børre Salberg; Line Eikvil; Automatic system for operational traffic monitoring using very-high-resolution satellite imagery International Journal of Remote Sensing, vol. 34, pp. 4850 4870 21 , (ISSN 0143-1161 1366-5901 ), doi: https://doi.org/10.1080/01431161.2013.782708 , 2013. Vitenskapelig artikkel

Marion Haugen; Line Eikvil; André Teigland; Sigrid Ingeborg Kvaal; Jens Grøgaard; Age estimation - Methodological challenges and agreement assessment 2013. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Descriptors and matching for real-time recognition of planar and curved objects 2013. Rapport

Line Eikvil; Marit Holden; Metoder og programmer for gjenkjenning av ukeblader 2013. Rapport

Line Eikvil; Gjenkjenning av håndskrevne tall fra folketellingsskjemaer fra 1891 2013. Rapport

Line Eikvil; Arnt Børre Salberg; Signal and image processing for ultrasound camera 2013. Rapport

André Teigland; Line Eikvil; Marion Haugen; 18 or not? Age estimation - methodological challenges 2012. Vitenskapelig foredrag

Line Eikvil; Sigrid Ingeborg Kvaal; André Teigland; Marion Haugen; Jens Grøgaard; Age estimation in youths and young adults. A summary of the needs for methodological research and development , 2012. Rapport

Marit Holden; Line Eikvil; Detecting beads in time series of DNA-sequencing images 2012. Rapport

Siri Øyen Larsen; Arnt Børre Salberg; Line Eikvil; SatTrafikk Project report 2011 , 2012. Rapport

Line Eikvil; Marit Holden; Detectors and descriptors for real-time recognition of planar objects 2012. Rapport

Line Eikvil; Siri Øyen Larsen; Arnt-Børre Salberg; Automated extraction of traffic information from satellite imagery pp. 5 8 , , 2011. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Line Eikvil; Automatisk analyse av folketellingsskjemaer 2011. Rapport

Line Eikvil; Marit Holden; Efficient search for biomedical information 2011. Rapport

Sigrid Ingeborg Kvaal; Line Eikvil; Marit Holden; Bildeanalyse av røntgenbilder til hjelp for aldersvurdering , 2011. Rapport

Arnt Børre Salberg; Siri Øyen Larsen; Kristian Myrhaug; Rune Solberg; Line Eikvil; et al. Plan for operasjonalisering av SatTrafikk-systemet i 2012-2013 2011. Rapport

André Teigland; Line Eikvil; Elisabeth Orskaug; The role of statistical methods 2010. Vitenskapelig foredrag

Line Eikvil; Arnt-Børre Salberg; Øivind Thorvald Due Trier; Experiments on Landsat scene 227-062 in Brazil , 2010. Vitenskapelig foredrag

Line Eikvil; Methods for analysis of handwritten historical documents 2010. Rapport

Line Eikvil; Lars Holden; Kåre Bævre; Automatiske metoder som hjelp til transkribering av historiske kilder 2010. Rapport

Arnt-Børre Salberg; Line Eikvil; Kjell Johansen; Sigmund Fredriksen; SatTrafikk 2010 - Operasjonelt scenario 2010. Rapport

Arnt-Børre Salberg; Line Eikvil; SatTrafikk-Project report 2010 , 2010. Rapport

Bjørn Wangensteen; Jostein Amlien; Hans Koren; Line Eikvil; Rune Solberg; SnowLab Software Documentation 2010. Rapport

Line Eikvil; Marit Holden; Ragnar Bang Huseby; Adaptive registration of remote sensing images using supervised learning Photogrammetric Engineering and Remote Sensing, vol. 75, pp. 1297 1306 , (ISSN 0099-1112 ), , 2009. Vitenskapelig oversiktsartikkel/review

Line Eikvil; Hans Koren; Lars Aurdal; Classification-based vehicle detection in high-resolution satellite images ISPRS Journal of Photogrammetry and Remote Sensing (P&RS), vol. 64, pp. 65 72 8 , (ISSN 0924-2716 1872-8235 ), doi: https://doi.org/10.1016/j.isprsjprs.2008.09.005 , 2009. Vitenskapelig artikkel

Line Eikvil; Marit Holden; Ragnar Bang Huseby; A system for adaptive image registration based on supervised learning , 2009. Vitenskapelig foredrag

Jostein Amlien; Hans Koren; Line Eikvil; Rune Solberg; SnowLab - A system for automated snow product generation - Software documentation , 2009. Rapport

Line Eikvil; Strekkodelesere for mobiltelefon 2009. Rapport

Line Eikvil; Ukebladsortering - vurdering av metoder 2009. Rapport

Line Eikvil; Marit Holden; Ragnar Bang Huseby; MIR - Multiple Image Registration, Technical Documentation 2009. Rapport

Line Eikvil; Marit Holden; Ragnar Bang Huseby; MIR - Multiple Image Registration, Software Documentation 2009. Rapport

Line Eikvil; Hans Koren; Marit Holden; Vehicle Detection in High-Resolution Satellite Images , 2008. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Ragnar Bang Huseby; Adaptive Co-Registration of Remote Sensing Images , 2008. Vitenskapelig foredrag

Lars Aurdal; Line Eikvil; Jostein Amlien; Rune Solberg; Building detection - Methods and software 2008. Rapport

Viktor Kaufmann; Wolfgang Sulzer; Jostein Amlien; Lars Aurdal; Line Eikvil; et al. Proceedings of the 9th International Symposium on High Mountain Remote Sensing Cartography Ukjent, vol. 43, pp. 109 112 4 , 2007. Vitenskapelig artikkel

Lars Aurdal; Line Eikvil; Jostein Amlien; Rune Solberg; Building detection - Internal note on experiments and software 2007. Rapport

Jostein Amlien; Line Eikvil; Hans Koren; Rune Solberg; Integrated Project geoland - Final Period Activity Report 2004-2006 (Editor A.Kaptein, Infoterra GmbH) 2007. Rapport

Lars Aurdal; Line Eikvil; Hans Koren; Jan Usterud Hanssen; Kjell Johansen; et al. Road Traffic Snapshot (ISSN 978-82-539-0525-9 ), , 2007. Rapport

Jostein Amlien; Lars Aurdal; Line Eikvil; Ragnar Bang Huseby; Hans Koren; et al. Snow and Vegetation Monitoring in the Scandinavian Mountains 2006. Poster

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor/multi-temporal approaches for snow cover area monitoring Ukjent, , 2006. Vitenskapelig artikkel

Line Eikvil; Per Ove Husøy; Alessandro Ciarlo; Adaptive Image Registration 2006. Vitenskapelig foredrag

Jostein Amlien; Hans Koren; Line Eikvil; Rune Solberg; SnowLab - A system for automated snow product generation - Software documentation , 2006. Rapport

Line Eikvil; Per Ove Husøy; Alessandro Ciarlo; Adaptive Image Registration Ukjent, 2005. Vitenskapelig artikkel

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor/multi-temporal approaches for snow cover area monitoring Ukjent, 2005. Vitenskapelig artikkel

Ragnar Bang Huseby; Lars Aurdal; Line Eikvil; Rune Solberg; Dagrun Vikhamar Schuler; et al. Alignment of growth seasons from satellite data pp. 213 216 , doi: https://doi.org/10.1109/AMTRSI.2005.1469875 , 2005. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Lars Aurdal; Ragnar Bang Huseby; Line Eikvil; Rune Solberg; Dagrun Vikhamar Schuler; et al. Use of hidden Markov models and phenology for multitemporal satellite image classification: applications to mountain vegetation classification pp. 220 224 , doi: https://doi.org/10.1109/AMTRSI.2005.1469877 , 2005. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Anders Rognes; Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; et al. Satellite based snow monitoring for hydropower production and trade in Norway - – results versus operational needs , 2005. Vitenskapelig foredrag

Line Eikvil; Per Ove Husøy; MIR - Multiple Image Registration - Software Documentation 2005. Rapport

Line Eikvil; Per Ove Husøy; MIR - Multiple Image Registration - Method Descriptions 2005. Rapport

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor/multi-temporal analysis of ENVISAT data for snow monitoring Ukjent, , 2004. Vitenskapelig artikkel

Rune Solberg; Jostein Amlien; Hans Koren; Line Eikvil; Eirik Malnes; et al. Multi-sensor and time-series approaches for monitoring of snow parameters pp. 1661 1666 , doi: https://doi.org/10.1109/IGARSS.2004.1370649 , 2004. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Line Eikvil; Med deg selv som adgangskort Ukjent, 2003. Leserinnlegg

Forskningsdagene 2003: Hvilken kjendis ligner du på? 2003. Programdeltagelse

Line Eikvil; Ansiktsgjenkjenning 2003. Vitenskapelig foredrag

Hans Koren; Line Eikvil; Rune Solberg; Vurdering av MODIS og AVHRR for beregning av snødekning 2003. Rapport

Line Eikvil; Digital trynefaktor ComputerWorld Norge, (ISSN 1501-6595 ), 2002. Leserinnlegg

Line Eikvil; Likner du på en kjendis? Ukjent, 2002. Leserinnlegg

Line Eikvil; Finn din kjendis Ukjent, 2002. Leserinnlegg

Line Eikvil; Trynefaktoren Ukjent, 2002. Leserinnlegg

Forskningsdagene - Hvilken kjendis ligner du på? 2002. Programdeltagelse

Line Eikvil; Ragnar Bang Huseby; Mønstergjenkjenning i bildesekvenser 2002. Vitenskapelig foredrag

Line Eikvil; Geir Olve Storvik; Segmentation of crate contours 2002. Rapport

Line Eikvil; Vurdering av OCR-system for lesing av bilskilt 2002. Rapport

Line Eikvil; Ragnar Bang Huseby; Pattern Recognition in Music , 2002. Rapport

Line Eikvil; Teksturmål for defektdeteksjon 2002. Rapport

Line Eikvil; Ragnar Bang Huseby; Traffic Surveillance in Real-time usingb Hidden Markov Models Ukjent, 2001. Vitenskapelig artikkel

Biometri (i Verdt å vite) 2001. Programdeltagelse

Line Eikvil; 2001: Hvor godt kan HAL se? 2001. Vitenskapelig foredrag

Line Eikvil; Gjenkjenning av ansikter 2001. Populærvitenskapelig foredrag

Line Eikvil; 2001: Hvor godt kan HAL se ? 2001. Populærvitenskapelig foredrag

Line Eikvil; Anders Moen; Øivind Skare; Ingvar Tjøstheim; Lars Thore Aarhus; Forskning på NR 2001: Rapport fra FANR/NTL forskningskomiteen 2001. Rapport

Line Eikvil; Kjersti Aas; Pattern recognition in text documents 2000. Vitenskapelig foredrag

Kjersti Aas; Line Eikvil; Example-based search for tourism information 2000. Rapport

Kjersti Aas; Line Eikvil; Speech-driven facial animation 2000. Rapport

Line Eikvil; Deformable models , 2000. Rapport

Line Eikvil; Video analysis of sign language , 2000. Rapport

Kjersti Aas; Line Eikvil; Ragnar Bang Huseby; Applications of hidden Markov chains in image analysis Pattern Recognition, vol. 32, pp. 703 713 11 , (ISSN 0031-3203 1873-5142 ), 1999. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Fish biomass estimation using video-based measurement techniques: A feasibility study 1999. Rapport

Kjersti Aas; Line Eikvil; Text categorisation - A survey (ISSN 82-539-0425-8 ), 1999. Rapport

Line Eikvil; Information Extraction from World Wide Web - A Survey (ISSN 82-539-0429-0 ), 1999. Rapport

Kjersti Aas; Line Eikvil; News Filtering 1999. Rapport

Line Eikvil; Marit Holden; Anne H. Schistad Solberg; Seismic Attribute Analysis, Part IV 1999. Rapport

Kjersti Aas; Line Eikvil; Automatic wrapper generation: A preliminary study 1999. Rapport

Kjersti Aas; Line Eikvil; Decoding bar codes from human-readable characters Pattern Recognition Letters, vol. 18, pp. 1519 1527 9 , (ISSN 0167-8655 1872-7344 ), 1998. Vitenskapelig artikkel

Line Eikvil; Kjersti Aas; Kroppen gir deg adgang Teknisk Ukeblad, vol. 145, pp. 22 23 2 , (ISSN 0040-2354 ), 1998. Populærvitenskapelig artikkel

Line Eikvil; Biometri - hva er det og hvordan virker det? 1998. Vitenskapelig foredrag

André Teigland; Line Eikvil; Bent Foyn; Anders Kluge; Hvordan kan multimedia brukes som informasjonsstøtte i kritiske situasjoner 1998. Vitenskapelig foredrag

Line Eikvil; Studie av fingeravtrykk 1998. Rapport

Line Eikvil; Ragnar Bang Huseby; Videobasert bildeteksjon 1998. Rapport

Jan Roger Sandbakken; Jon Haugsand; Line Eikvil; API'er og sertifiseringsordninger for biometriske produkter 1998. Rapport

Line Eikvil; Mari Thune; Video and motion analysis - An overview - 1998. Rapport

Kjersti Aas; Line Eikvil; An intelligent agent for filtering of online newspaper articles 1998. Rapport

Kjersti Aas; Line Eikvil; Reading bar codes from low resolution images Ukjent, 1997. Populærvitenskapelig artikkel

Line Eikvil; Bent Foyn; Hilde M. Lovett; Dag Solvoll; Tryggve Einar Sørensen; et al. Transmission of digital real-time video over ATM networks, Applied at alarm trigged video surveillance (ISSN 82-539-0432-0 ), 1997. Rapport

Kjersti Aas; Line Eikvil; Uttesting av metode for strekkodedeteksjon 1997. Rapport

Kjersti Aas; Line Eikvil; A survey on: Content-based access to image and video databases (ISSN 82-539-0433-9 ), 1997. Rapport

Line Eikvil; Terrain generator 1997. Rapport

Kjersti Aas; Line Eikvil; An intelligent news agent 1997. Rapport

Kjersti Aas; Line Eikvil; Text page recognition using grey level features and hidden Markov models Pattern Recognition, vol. 29, pp. 977 985 9 , (ISSN 0031-3203 1873-5142 ), 1996. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Otto Milvang; Automatic can separation Ukjent, vol. III, pp. 954 954 , 1996. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Tove Andersen; Text recognition from grey level images using hidden Markov models Ukjent, 1996. Populærvitenskapelig artikkel

Line Eikvil; Datafangst med fjernmåling for ajourføring av geografisk informasjon 1996. Vitenskapelig foredrag

Kjersti Aas; Line Eikvil; Reading bar codes from low resolution images 1996. Rapport

Kjersti Aas; Line Eikvil; Dag Bremnes; Andreas Nordbryhn; Automatic classification of bottles in crates Ukjent, 1995. Vitenskapelig artikkel

Line Eikvil; Kjersti Aas; Hans Koren; Tools for interactive map conversion and vectorization Ukjent, vol. 2, pp. 927 930 4 , 1995. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Tove Andersen; Text recognition from grey level images using hidden Markov models Lecture Notes in Computer Science (LNCS), vol. 970, pp. 503 508 , (ISSN 0302-9743 1611-3349 ), 1995. Vitenskapelig artikkel

Line Eikvil; Kjersti Aas; Marit Holden; Automatic recognition of character strings in maps Ukjent, 1995. Vitenskapelig artikkel

Kjersti Aas; Line Eikvil; Dagens Sherlock Holmes Teknisk Ukeblad, (ISSN 0040-2354 ), 1995. Populærvitenskapelig artikkel

Kjersti Aas; Tove Andersen; Line Eikvil; Hans Koren; Jørn Lyseggen; Videoanalyse Teknisk Ukeblad, (ISSN 0040-2354 ), 1995. Populærvitenskapelig artikkel

Kjersti Aas; Line Eikvil; Bar code localization 1995. Rapport

Kjersti Aas; Line Eikvil; Otto Milvang; Automatic can separation 1995. Rapport

Line Eikvil; Harald H. Erichsen; Nye veier i kartdatafangst Kart og Plan, vol. 54, (ISSN 0047-3278 2535-6003 ), 1994. Populærvitenskapelig artikkel

Line Eikvil; Hans Koren; Kjersti Aas; Theory and methods for filtering of lines 1994. Rapport

Line Eikvil; Kjersti Aas; Theory and methods for classification of single raster symbols 1994. Rapport

Line Eikvil; Hans Koren; Kjersti Aas; Theory and methods for digitizing of areas 1994. Rapport

Kjersti Aas; Dag Bremnes; Line Eikvil; Ragnar Bang Huseby; Jørn Lyseggen; Classification of bottles in crates 1994. Rapport

Marit Holden; Line Eikvil; Geir Storvik; Methods for updating of model parameters applied within the area of symbol recognition Ukjent, 1993. Vitenskapelig artikkel

Marit Holden; Line Eikvil; Geir Olve Storvik; Methods for updating of model parameters applied within the area of symbol recognition 1993. Vitenskapelig foredrag

Line Eikvil; Symbolgjenkjenning og interaktiv vektorisering i rasterbilder 1993. Vitenskapelig foredrag

Line Eikvil; OCR - Hvor langt har teknologien kommet? 1993. Vitenskapelig foredrag

Kjersti Aas; Line Eikvil; Hans Koren; Jorunn B. Olafsdottir; Recognition of degraded symbols using hidden Markov models (ISSN 9788253903699 ), 1993. Rapport

Line Eikvil; OCR - Optical Character Recognition 1993. Rapport

Line Eikvil; Kjersti Aas; Theory and methods for grouping and syntax analysis 1993. Rapport

Line Eikvil; Hans Koren; Kjersti Aas; Theory and methods for Interactive Digitizing of lines 1993. Rapport

Kjersti Aas; Line Eikvil; Ragnar Bang Huseby; Recognition of objects in coregistered images - preparations for practical use 1993. Rapport

Jorunn B. Olafsdottir; Line Eikvil; Tolkning og analyse av geografisk informasjon (ISSN 82-539-0363-4 ), 1993. Rapport

Line Eikvil; Jorunn B. Olafsdottir; Marie Stugaard; Arvid Lundervold; Gjenkjenning av flytmønstre fra Doppler ultralyd bilder 1992. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Geir Olve Storvik; Methods for updating of model parameters applied within the area of symbol recognition (ISSN 82-539-0352-9 ), 1992. Rapport

Line Eikvil; Jorunn B. Olafsdottir; Marie Stugaard; Arvid Lundervold; Recogition of flow pattern in Doppler ultrasound images 1992. Rapport

Line Eikvil; Filtrering av simulerte data fra geologiske lag 1992. Rapport

Line Eikvil; Torfinn Taxt; Simultaneous recognition of class and rotation angle of raster symbols Ukjent, vol. 1, pp. 461 468 8 , 1991. Vitenskapelig artikkel

Line Eikvil; Torfinn Taxt; Knut Moen; An adaptive method for binarization of grey level images Ukjent, 1991. Vitenskapelig artikkel

Line Eikvil; Torfinn Taxt; Knut Moen; A fast adaptive method for binarization of document images Ukjent, 1991. Vitenskapelig artikkel

Line Eikvil; Katrine Weisteen; Segmentering i raster ved bruk av elliptiske Fourier deskriptorer 1991. Rapport

Torfinn Taxt; Nils Lid Hjort; Line Eikvil; Recognition of handwritten symbols Ukjent, vol. 23, pp. 1155 1166 12 , 1990. Populærvitenskapelig artikkel

Line Eikvil; Hans Koren; Automatisk avlesing av målebrev 1990. Rapport

Torfinn Taxt; Line Eikvil; Nils Lid Hjort; Statistical classification using mixures of multinormal densities Ukjent, 1989. Vitenskapelig artikkel

Line Eikvil; Jorunn B. Olafsdottir; Torfinn Taxt; Automatisk avlesing av bilskilt : et forprosjekt utført for NTNF (ISSN 82-539-0323-5 ), 1989. Rapport