Papers:

• Arngren, M., Schmidt, M. N., Larsen, J., Unmixing of Hyperspectral Image using Bayesian Nonnegative Matrix Factorization with Volume Prior, Journal of Signal Processing Systems, 2010 [pdf]
  
  
• Arngren, M., Schmidt, M. N., Larsen, J., Supplementary material for Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior, 2010 [pdf]
  
  
• Arngren, M., Schmidt, M. N., Larsen, J., Bayesian Nonnegative Matrix Factoization with Volume Constraints for Unmixing af Hyperspectral Images, 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009), 2009 [pdf]

• Dissing, B. S., Clemmensen, L. H., Løje, H., Ersbøll, B. E., and Adler-Nissen, J. , Temporal reflectance changes in vegetables, CRICV, Kyoto, Japan, 2009

• Larsen, R., Nielsen, A. A., Arngren, M., Hansen, P. W., Kernel Based Subspace projection of Hyperspectral Images, European Workshop on Challenges in Modern Massive Data Sets (EMMDS 2009.), July 1st-4th, 2009 [pdf] 
  
  
• Larsen, R., Arngren, M., Hansen, P. W., Nielsen, A. A., Kernel based subspace projection of near infrared hyperspectral images of maize kernels, Proceesings of the 16th Scandinavian Conference on Image Analysis, vol. 5575, pp. 560-569, 2009 [pdf] 
  

• Clemmensen, L. H., Hansen, M. E., Ersbøll, B. K., Frisvad, J. C., A method for comparison of growth media in objective identification of Penicillium based on multi-spectral imaging, Journal of Microbiological Methods, vol. 69, pp. 249-255, 2007
  
  
• Gomez, D. D., Clemmensen, L. H., Ersbøll, B. K., Carstensen, J. M., Precise acquisition and unsupervised segmentation of multi-spectral images, Computer Vision and Image Understading, vol. 106(2-3), pp. 183-193, 2007

• Clemmensen, L. H., Estimation and Classification through Regression with Variable Selection amongst Features Extracted from Multi-Spectral Images - Estimation of moisture content in sand & Identification of Penicillium fungi, 2006 [pdf]

• Ersbøll, B. K., Jørgensen, T. M., MICCAI ´06 - Workshop on Biophotonics Imaging for Diagnostics and Treatment, October 6, 2006 proceedings, 9th MICCAI Conference, 2006 [pdf]