Fast Hyperspectral Feature Reduction Using Piecewise Constant Function Approximations. - Are Charles Jensen; Anne H. Schistad Solberg (IEEE Geosci. Remote. Sens. Lett., 2007)

Sparse Inverse Covariance Estimates for Hyperspectral Image Classification. - Asbjørn Berge; Are Charles Jensen; Anne H. Schistad Solberg (IEEE Trans. Geosci. Remote. Sens., 2007)

Regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification. - Are Charles Jensen; Asbjørn Berge; Anne H. Schistad Solberg (IEEE Trans. Geosci. Remote. Sens., 2008)

Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification. - Are Charles Jensen; Marco Loog; Anne H. Schistad Solberg (IEEE Trans. Geosci. Remote. Sens., 2010)

Forming Different-Complexity Covariance-Model Subspaces through Piecewise-Constant Spectra for Hyperspectral Image Classification. - Are Charles Jensen; Marco Loog (SCIA, 2011)

Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis. - Marco Loog; Are Charles Jensen (SSPR/SPR, 2012)

Semi-Supervised Nearest Mean Classification Through a Constrained Log-Likelihood. - Marco Loog; Are Charles Jensen (IEEE Trans. Neural Networks Learn. Syst., 2015)

On Measuring and Quantifying Performance: error rates, surrogate Loss, and an Example in Semi-Supervised Learning. - Marco Loog; Jesse H. Krijthe; Are Charles Jensen (Handbook of Pattern Recognition and Computer Vision, 2016)

On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSL. - Marco Loog; Jesse H. Krijthe; Are Charles Jensen (CoRR, 2017)