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Journal Articles
- 2015
[j5]Marco Loog, Are Charles Jensen:
Semi-Supervised Nearest Mean Classification Through a Constrained Log-Likelihood. IEEE Trans. Neural Networks Learn. Syst. 26(5): 995-1006 (2015)- 2010
- [j4]Are Charles Jensen, Marco Loog, Anne H. Schistad Solberg:
Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(4-1): 1851-1859 (2010) - 2008
- [j3]Are Charles Jensen, Asbjørn Berge, Anne H. Schistad Solberg:
Regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 46(10): 2814-2822 (2008) - 2007
- [j2]Are Charles Jensen, Anne H. Schistad Solberg:
Fast Hyperspectral Feature Reduction Using Piecewise Constant Function Approximations. IEEE Geosci. Remote. Sens. Lett. 4(4): 547-551 (2007) - [j1]Asbjørn Berge, Are Charles Jensen, Anne H. Schistad Solberg:
Sparse Inverse Covariance Estimates for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 45(5-2): 1399-1407 (2007)
Conference and Workshop Papers
- 2012
- [c3]Marco Loog, Are Charles Jensen:
Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis. SSPR/SPR 2012: 327-335 - 2011
- [c2]Are Charles Jensen, Marco Loog:
Forming Different-Complexity Covariance-Model Subspaces through Piecewise-Constant Spectra for Hyperspectral Image Classification. SCIA 2011: 186-195 - 2007
- [c1]Are Charles Jensen, Asbjørn Berge, Anne H. Schistad Solberg:
Regression approaches to small sample inverse covariance matrix estimation for hyperspectral image classification. IGARSS 2007: 3781-3784
Parts in Books or Collections
- 2016
- [p1]Marco Loog, Jesse H. Krijthe, Are Charles Jensen:
On Measuring and Quantifying Performance: error rates, surrogate Loss, and an Example in Semi-Supervised Learning. Handbook of Pattern Recognition and Computer Vision 2016: 53-68
Informal and Other Publications
- 2017
- [i1]Marco Loog, Jesse H. Krijthe, Are Charles Jensen:
On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSL. CoRR abs/1707.04025 (2017)
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