Functional Approach

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The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform

Elena Kokoliou - One of the best experts on this subject based on the ideXlab platform.

Panagiotis Giannopoulos - One of the best experts on this subject based on the ideXlab platform.

  • ecoSHAVE
    internal, 2020
    Co-Authors: Panagiotis Giannopoulos
    Abstract:

    keeping a simplistic/functional approach on patterns and structural elements, whereas it promotes and communicates an eco friendly profile with the selection

David Causeur - One of the best experts on this subject based on the ideXlab platform.

  • Functional Approach FOR THE ANALYSIS OF TIME INTENSITY CURVES USING B-SPLINES
    Journal of Sensory Studies, 2005
    Co-Authors: Stephanie Ledauphin, Evelyne Vigneau, David Causeur
    Abstract:

    This article deals with a Functional Approach based on the projection upon a B-spline basis in order to analyze Time Intensity curves. The modelization is followed, on the one hand, by the assessment of the repeatability and the discrimination ability of the panelists, and on the other hand, by the determination of a good compromise over repetitions. Finally, a multidimensional analysis enables the comparison of the shapes of the curves associated with the assessors (assessors' signature) and the characterization of the products. The properties of this Functional Approach are illustrated with TI curves describing sweetness variations of drinks.

  • Functional Approach for the analysis of time intensity curves using B-splines
    Journal of Sensory Studies, 2005
    Co-Authors: Stephanie Ledauphin, Evelyne Vigneau, David Causeur
    Abstract:

    This article deals with a Functional Approach based on the projection upon a beta-spline basis in order to analyze Time Intensity curves. The modelization is followed, on the one hand, by the assessment of the repeatability and the discrimination ability of the panelists, and on the other hand, by the determination of a good compromise over repetitions. Finally, a multidimensional analysis enables the comparison of the shapes of the curves associated with the assessors (assessors' signature) and the characterization of the products. The properties of this Functional Approach are illustrated with TI curves describing sweetness variations of drinks.

Yi-ching Yao - One of the best experts on this subject based on the ideXlab platform.

Stephanie Ledauphin - One of the best experts on this subject based on the ideXlab platform.

  • Functional Approach FOR THE ANALYSIS OF TIME INTENSITY CURVES USING B-SPLINES
    Journal of Sensory Studies, 2005
    Co-Authors: Stephanie Ledauphin, Evelyne Vigneau, David Causeur
    Abstract:

    This article deals with a Functional Approach based on the projection upon a B-spline basis in order to analyze Time Intensity curves. The modelization is followed, on the one hand, by the assessment of the repeatability and the discrimination ability of the panelists, and on the other hand, by the determination of a good compromise over repetitions. Finally, a multidimensional analysis enables the comparison of the shapes of the curves associated with the assessors (assessors' signature) and the characterization of the products. The properties of this Functional Approach are illustrated with TI curves describing sweetness variations of drinks.

  • Functional Approach for the analysis of time intensity curves using B-splines
    Journal of Sensory Studies, 2005
    Co-Authors: Stephanie Ledauphin, Evelyne Vigneau, David Causeur
    Abstract:

    This article deals with a Functional Approach based on the projection upon a beta-spline basis in order to analyze Time Intensity curves. The modelization is followed, on the one hand, by the assessment of the repeatability and the discrimination ability of the panelists, and on the other hand, by the determination of a good compromise over repetitions. Finally, a multidimensional analysis enables the comparison of the shapes of the curves associated with the assessors (assessors' signature) and the characterization of the products. The properties of this Functional Approach are illustrated with TI curves describing sweetness variations of drinks.