• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 70 matches

• 2024
• 
  Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen:
  IKPLS: Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX. J. Open Source Softw. 9(99): 6533 (2024)
• 2023
• 
  Xiao Hu, François Lauze, Kim Steenstrup Pedersen:
  Refractive Pose Refinement. Int. J. Comput. Vis. 131(6): 1448-1476 (2023)
• 
  Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen:
  Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics. ICCV (Workshops) 2023: 485-494
• 
  Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen, Kim Steenstrup Pedersen:
  Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios. CoRR abs/2311.04042 (2023)
• 2022
• 
  Roberta Hunt, Kim Steenstrup Pedersen:
  Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. ACCV (5) 2022: 425-441
• 2021
• 
  Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Kim Steenstrup Pedersen:
  Predicting Protein Content in Grain Using Hyperspectral Deep Learning. ICCVW 2021: 1372-1380
• 
  Xiao Hu, François Lauze, Kim Steenstrup Pedersen, Jean Mélou:
  Absolute and Relative Pose Estimation in Refractive Multi View. ICCVW 2021: 2569-2578
• 2020
• 
  Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen:
  PMData: a sports logging dataset. MMSys 2020: 231-236
• 2019
• 
  Greta Tuckute, Sofie Therese Hansen, Nicolai Pedersen, Dea Steenstrup, Lars Kai Hansen:
  Single-Trial Decoding of Scalp EEG under Natural Conditions. Comput. Intell. Neurosci. 2019: 9210785:1-9210785:11 (2019)
• 
  Georgios Karagiannis, Søren I. Olsen, Kim Steenstrup Pedersen:
  Deep Learning for Detection of Railway Signs and Signals. CVC (1) 2019: 1-15
• 
  Steen Savstrup Kristensen, Irfan Kuvvetli, Torsten Neubert, Carol Anne Oxborrow, Søren Møller Pedersen, Josef Polny, Ib Lundgaard Rasmussen, Victor Reglero, Christian Stoltze, Denis Tcherniak, Per Lundahl Thomsen, Jan E. Balling, Nikolai Østgaard, Peter Brauer, Carl Budtz-Jørgensen, Olivier Chanrion, Freddy Christiansen, Krystallia Dimitriadou, Lasse Husbjerg, Niels Christian Jessen:
  Atmosphere-Space Interactions Monitor, Instrument and First Results. IGARSS 2019: 8811-8814
• 
  Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
  A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation. IPMI 2019: 360-371
• 
  Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
  A cross-center smoothness prior for variational Bayesian brain tissue segmentation. CoRR abs/1903.04191 (2019)
• 2018
• 
  Lene Krøl Andersen, Birgitte Vedel Thage, Ali Syed, Bjarne Andersen, Peter Løngreen, Kurt Gammelgaard Nielsen, Steen Pedersen:
  National supercomputing in Denmark. MIPRO 2018: 179-188
• 2017
• 
  Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel:
  Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. IEEE Intell. Syst. 32(2): 16-22 (2017)
• 
  Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel:
  Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. CoRR abs/1704.04650 (2017)
• 2016
• 
  Kim Steenstrup Pedersen, Rasmus R. Paulsen:
  Special section on 19th Scandinavian conference on image analysis (SCIA 2015). Pattern Recognit. Lett. 80: 238 (2016)
• 
  Peter L. Sørensen, Kasper Sørensen, Jacob Melgaard, Johannes J. Struijk, Steen M. Hansen, Jørgen K. Kanters, Jonas B. Nielsen, Jesper Hastrup Svendsen, Stig Haunsoe, Lars Koeber, Anders G. Holst, Adrian Pietersen, Christian Torp-Pedersen, Freddy K. Lippert, Claus Graff:
  A Vectorcardiographic Evaluation of the Consensus Criteria for Early Repolarization. CinC 2016
• 2015
• 
  Jan Kremer, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel:
  Nearest neighbor density ratio estimation for large-scale applications in astronomy. Astron. Comput. 12: 67-72 (2015)
• 
  Rasmus R. Paulsen, Kim Steenstrup Pedersen:
  Image Analysis - 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings. Lecture Notes in Computer Science 9127, Springer 2015, ISBN 978-3-319-19664-0 [contents]
• 2014
• 
  Henrik Aanæs, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen:
  Erratum to: Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. Int. J. Comput. Vis. 108(3): 259 (2014)
• 
  Jan Kremer, Kim Steenstrup Pedersen, Christian Igel:
  Active learning with support vector machines. WIREs Data Mining Knowl. Discov. 4(4): 313-326 (2014)
• 2013
• 
  Søren Hauberg, François Lauze, Kim Steenstrup Pedersen:
  Unscented Kalman Filtering on Riemannian Manifolds. J. Math. Imaging Vis. 46(1): 103-120 (2013)
• 
  Kristoffer Stensbo-Smidt, Christian Igel, Andrew Zirm, Kim Steenstrup Pedersen:
  Nearest neighbour regression outperforms model-based prediction of specific star formation rate. IEEE BigData 2013: 141-144
• 
  Kim Steenstrup Pedersen, Kristoffer Stensbo-Smidt, Andrew Zirm, Christian Igel:
  Shape Index Descriptors Applied to Texture-Based Galaxy Analysis. ICCV 2013: 2440-2447
• 
  Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles:
  Learning Models of Activities Involving Interacting Objects. IDA 2013: 285-297
• 2012
• 
  Henrik Aanæs, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen:
  Interesting Interest Points - A Comparative Study of Interest Point Performance on a Unique Data Set. Int. J. Comput. Vis. 97(1): 18-35 (2012)
• 
  Søren Hauberg, Stefan Sommer, Kim Steenstrup Pedersen:
  Natural metrics and least-committed priors for articulated tracking. Image Vis. Comput. 30(6-7): 453-461 (2012)
• 
  Søren Hauberg, Kim Steenstrup Pedersen:
  Spatial Measures between Human Poses for Classification and Understanding. AMDO 2012: 26-36
• 
  Anders Boesen Lindbo Larsen, Sune Darkner, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen:
  Jet-Based Local Image Descriptors. ECCV (3) 2012: 638-650

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