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Are Charles Jensen
Are Charles Jensen
Adjunct Associate Professor, University of Oslo
Verified email at ifi.uio.no
Title
Cited by
Cited by
Year
Convolutional neural networks for automated seismic interpretation
AU Waldeland, AC Jensen, LJ Gelius, AHS Solberg
The Leading Edge 37 (7), 529-537, 2018
2132018
An approach to multibeam covariance matrices for adaptive beamforming in ultrasonography
AC Jensen, A Austeng
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012
512012
Coherent plane-wave compounding and minimum variance beamforming
A Austeng, CIC Nilsen, AC Jensen, SP Näsholm, S Holm
2011 IEEE International Ultrasonics Symposium, 2448-2451, 2011
512011
Fast hyperspectral feature reduction using piecewise constant function approximations
AC Jensen, AS Solberg
IEEE Geoscience and Remote Sensing Letters 4 (4), 547-551, 2007
512007
Sparse inverse covariance estimates for hyperspectral image classification
A Berge, AC Jensen, AHS Solberg
IEEE Transactions on Geoscience and Remote Sensing 45 (5), 1399-1407, 2007
462007
Semi-supervised nearest mean classification through a constrained log-likelihood
M Loog, AC Jensen
IEEE transactions on neural networks and learning systems 26 (5), 995-1006, 2014
322014
The iterative adaptive approach in medical ultrasound imaging
AC Jensen, A Austeng
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 61 …, 2014
252014
Regression approaches to small sample inverse covariance matrix estimation for hyperspectral image classification
AC Jensen, A Berge, AS Solberg
IEEE transactions on geoscience and remote sensing 46 (10), 2814-2822, 2008
232008
Applying Thomson's multitaper approach to reduce speckle in medical ultrasound imaging
AC Jensen, SP Nasholm, CIC Nilsen, A Austeng, S Holm
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012
202012
On measuring and quantifying performance: error rates, surrogate loss, and an example in semi-supervised learning
M Loog, JH Krijthe, AC Jensen
Handbook of Pattern Recognition and Computer Vision, 53-68, 2016
142016
Constrained log-likelihood-based semi-supervised linear discriminant analysis
M Loog, AC Jensen
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2012
92012
Using multiscale spectra in regularizing covariance matrices for hyperspectral image classification
AC Jensen, M Loog, AHS Solberg
IEEE transactions on geoscience and remote sensing 48 (4), 1851-1859, 2010
92010
How best to study the learning organization
N Nguyen, JØ Hansen, A Jensen
52019
Capon beamforming applied to second-harmonic ultrasound experimental data
SP Näsholm, A Austeng, AC Jensen, CIC Nilsen, S Holm
2011 IEEE International Ultrasonics Symposium, 2217-2220, 2011
52011
Image amplitude estimation with the minimum variance beamformer
A Austeng, AC Jensen, JF Synnevaag, S Holm
2009 IEEE International Ultrasonics Symposium, 2355-2358, 2009
52009
Introducing training and parameter tuning for KOSP classification of hyperspectral images
L Capobianco, L Carli, A Garzelli, F Nencini
Image and Signal Processing for Remote Sensing XIII 6748, 97-108, 2007
52007
A multitaper approach to speckle reduction for medical ultrasound imaging
AC Jensen, CIC Nilsen, A Austeng, SP Näsholm, S Holm
2011 IEEE International Ultrasonics Symposium, 397-400, 2011
42011
Use of the minimum variance beamformer in synthetic aperture sonar imaging
A Austeng, AC Jensen, CIC Nilsen, HJ Callow, RE Hansen
Proceedings of Meetings on Acoustics 17 (1), 2012
32012
The cod: a case of supervised neglect
AC Jensen
Natural History Magazine, 1973
31973
Opportunity domains for new entrants in the circular economy: A keyword-in-context analysis of norwegian RD tax incentive projects
RR Hermann, A Jensen, P Gianiodis
Research handbook of innovation for a circular economy, 316-325, 2021
22021
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