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Sigurdsson, S., Pontoppidan, N. H. and Larsen,
J. Supervised and unsupervised condition monitoring of non-stationary
acoustic emission signals. Accepted for International Conference
on Condition Monitoring and Diagnostic Engineering Management, COMADEM
2005. [pdf]
Pontoppidan, N. H., Larsen, J. and Sigurdsson,
S. Non-stationary Condition Monitoring of large diesel engines
with the AEWATT toolbox. 59th meeting of the Society for Machinery
Failure Prevention Technology, 2005.[pdf]
Pontoppidan, N. H., Sigurdsson, S. and Larsen,
J. Condition monitoring with Mean field independent components
analysis. Mechanical systems and signal processing: Special
issue on blind source separation. 2005 [pdf]
Pontoppidan, N. H. and Sigurdsson, S. Independent
components in acoustic emission energy signals from large diesel
engines. International Journal of COMADEM, 2005. [pdf]
S. Sigurdsson, P.A. Philipsen, L.K. Hansen, J.
Larsen, M. Gniadecka, and H.C. Wulf. Detection of Skin Cancer
by Classification of Raman Spectra. IEEE Transactions on Biomedical
Engineering, vol. 51(10), pp. 1784 - 1793, 2004. [pdf]
S. Lehmann, T. Lehn-Schiøler, S. Sigurdsson,
Feministisk Gennembrud ved OL i 2636, Ingeniøren,
no. 44, pp. Bagsiden, 2004
M. Gniadecka, P.A. Philipsen, S. Sigurdsson, S.
Wessel, O.F. Nielsen, D.H. Christensen, J. Hercogova, K. Rossen,
H.K. Thomsen, R. Gniadecki, L.K. Hansen, H.C. Wulf. Malignant
Melanoma Diagnosis by Raman Spectroscopy and Neural Network: Structure
Alterations in Proteins and Lipids in Intact Cancer Tissue.
Journal of Investigative Dermatology, vol. 122, pp. 443-449, 2004.
R.E. Madsen, S. Sigurdsson, L.K. Hansen and J.
Larsen. Vocabulary Pruning for Improved Context Recognition.
Proceedings of the International Joint Conference on Neural Networks,
pp. 80-85, 2004. [pdf]
R.E. Madsen, S. Sigurdsson and L.K. Hansen. Enhanced
Context Recognition by Sensitivity Pruned Vocabularies. Proceedings
of 17th International Conference on Pattern Recognition (ICPR 2004),
vol. 2, pp. 483-486, 2004.[pdf]
N.H. Pontoppidan, J. Larsen, S. Sigurdsson, J.
Steel, R. Douglas, T. Fog, E. Brown. Data Acquisition Strategy
and Signal Preprocessing. Technical Report 2003, Informatics
and Mathematical Modelling, Technical University of Denmark, 2003.
S. Sigurdsson. A Probabilistic Framework for
Detection of Skin Cancer by Raman Spectra. Ph.D. Thesis, Informatics
and Mathematical Modelling, Technical University of Denmark, DTU,
2003. [zip]
S. Sigurdsson, M. Gniadecka, J. Larsen, H.C. Wulf
and L.K. Hansen. Estimating and Suppressing Background in Raman
Spectra with an Artificial Neural Network. Technical Report
2003-20, Informatics and Mathematical Modelling, Technical University
of Denmark, 2003. [pdf]
S. Sigurdsson, L.K. Hansen and K.T. Drzewiecki.
Identifying Black Dots in Dermatoscopic Images using Template
Matching. Technical Report 2003-21, Informatics and Mathematical
Modelling, Technical University of Denmark, 2003. [pdf]
S. Sigurdsson, L.K. Hansen and K.T. Drzewiecki.
Color Segmentation of Skin Lesions with the Generalizable Gaussian
Mixture Model. Technical Report 2003-22, Informatics and Mathematical
Modelling, Technical University of Denmark, 2003. [pdf]
S. Sigurdsson, J. Larsen, L.K. Hansen, P.A.
Philipsen and H.C. Wulf. Outlier estimation and detection: Application
to Skin Lesion Classification. In proceedings of ICASSP'2002,
Orlando, Florida, USA, May 13-17, vol. I, pp. 1049-1052, 2002.
[pdf]
S. Sigurdsson, J. Larsen and L.K. Hansen.
On Comparison of Adaptive Regularization Methods. In B. Widrow,
L. Guan, K. Paliwa, T. Adali, J. Larsen, E. Wilson, S. Douglas (eds.)
Proceedings of the IEEE Workshop on Neural Networks for Signal Processing
X, Piscataway, New Jersey: IEEE. Sydney, Australia, Dec. 11-13,
2000, pp. 221-230. [pdf]
L.K. Hansen, S. Sigurdsson, T. Kolenda,
F.Å. Nielsen, U. Kjems and J. Larsen. Modeling Text with
Generalizable Gaussian Mixtures. In proceedings of IEEE ICASSP'2000,
Istanbul, Turkey, June 5-9, 2000, vol. VI, pp. 3494-3497. [pdf]
T. Kolenda, L.K. Hansen and S. Sigurdsson.
Independent Components in Text. Advances in Independent Component
Analysis, Springer-Verlag, M. Girolami (ed.), 2000. [zip]
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