NDLI: Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features

Content Provider	IEEE Xplore Digital Library
Author	Sharifzadeh, S. Skytte, J.L. Nielsen, O.H.A. Ersboll, B. Clemmensen, L.H.
Copyright Year	2012
Description	Author affiliation: Technical University of Denmark, Denmark (Sharifzadeh, S.; Skytte, J.L.; Nielsen, O.H.A.; Ersboll, B.; Clemmensen, L.H.)
Abstract	Statistical solutions find wide spread use in food and medicine quality control. We investigate the effect of different regression and sparse regression methods for a viscosity estimation problem using the spectro-temporal features from new Sub-Surface Laser Scattering (SLS) vision system. From this investigation, we propose the optimal solution for regression estimation in case of noisy and inconsistent optical measurements, which is the case in many practical measurement systems. The principal component regression (PLS), partial least squares (PCR) and least angle regression (LAR) methods are compared with sparse LAR, lasso and Elastic Net (EN) sparse regression methods. Due to the inconsistent measurement condition, Locally Weighted Scatter plot Smoothing (Loess) has been employed to alleviate the undesired variation in the estimated viscosity. The experimental results of applying different methods show that, the sparse regression lasso outperforms other methods. In addition, the use of local smoothing has improved the results considerably for all regression methods. Due to the sparsity of lasso, this result would assist to design a simpler vision system with less spectral bands.
Starting Page	52
Ending Page	55
File Size	449465
Page Count	4
File Format	PDF
ISBN	9781457721915
ISSN	21578672
e-ISBN	9783200023284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-11
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Telecommunica
Subject Keyword	Viscosity Training Dairy products Smoothing methods Machine vision Smoothing Scattering Estimation Regression Sub-Surface Laser Scattering (SLS) Sparse Regression
Content Type	Text
Resource Type	Article

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