Least-squares support vector machines modelization for time-resolved spectroscopy
(2005) In Applied Optics 44(33). p.7091-7097- Abstract
- By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as... (More)
- By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as apples. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/213526
- author
- Chauchard, F ; Roussel, S ; Roger, JM ; Bellon-Maurel, V ; Abrahamsson, Christoffer LU ; Svensson, Tomas LU ; Andersson-Engels, Stefan LU and Svanberg, Sune LU
- organization
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Applied Optics
- volume
- 44
- issue
- 33
- pages
- 7091 - 7097
- publisher
- Optical Society of America
- external identifiers
-
- wos:000233345000011
- pmid:16318179
- scopus:29144434987
- ISSN
- 2155-3165
- language
- English
- LU publication?
- yes
- id
- a6a710b3-b568-46af-8762-22c4ac317187 (old id 213526)
- alternative location
- http://www.opticsinfobase.org/abstract.cfm?URI=ao-44-33-7091
- date added to LUP
- 2016-04-01 12:33:15
- date last changed
- 2022-01-27 06:38:38
@article{a6a710b3-b568-46af-8762-22c4ac317187,
abstract = {{By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as apples.}},
author = {{Chauchard, F and Roussel, S and Roger, JM and Bellon-Maurel, V and Abrahamsson, Christoffer and Svensson, Tomas and Andersson-Engels, Stefan and Svanberg, Sune}},
issn = {{2155-3165}},
language = {{eng}},
number = {{33}},
pages = {{7091--7097}},
publisher = {{Optical Society of America}},
series = {{Applied Optics}},
title = {{Least-squares support vector machines modelization for time-resolved spectroscopy}},
url = {{https://lup.lub.lu.se/search/files/2970540/2365470.pdf}},
volume = {{44}},
year = {{2005}},
}