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Information Seminar Paper

Title

MULTIVARIATE CURVE RESOLUTION WITH LASSO REGRESSION: A SURVEY ON ESTIMATION OF ROTATIONAL AMBIGUITY FOR SPARSITY CONSTRAINT

Pages

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Abstract

 SELF-MODELING CURVE RESOLUTION (SMCR) METHODS TRY TO DEVELOP A BILINEAR MODEL FOR ESTIMATING PURE COMPOSITIONS AND SPECTRA PROFILES FOR MULTIPLE COMPONENT UNKNOWN MIXTURES. ROTATIONAL AMBIGUITY IN SMCR IS AN UNDESIRABLE PROBLEM AND THERE FORE A UNIQUE RESOLUTION OF THE DATA MATRIX INTO SPECIFIC SPECTRA AND CONCENTRATION PROFILES OF INDIVIDUAL CHEMICAL COMPONENTS IS NOT FEASIBLE. ...

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    APA: Copy

    MANI VARNOSFADERANI, AHMAD, Kanginejad, Atefeh, & YAMINI, YADOLLAH. (2016). MULTIVARIATE CURVE RESOLUTION WITH LASSO REGRESSION: A SURVEY ON ESTIMATION OF ROTATIONAL AMBIGUITY FOR SPARSITY CONSTRAINT. IRANIAN SEMINAR OF ANALYTICAL CHEMISTRY. SID. https://sid.ir/paper/942389/en

    Vancouver: Copy

    MANI VARNOSFADERANI AHMAD, Kanginejad Atefeh, YAMINI YADOLLAH. MULTIVARIATE CURVE RESOLUTION WITH LASSO REGRESSION: A SURVEY ON ESTIMATION OF ROTATIONAL AMBIGUITY FOR SPARSITY CONSTRAINT. 2016. Available from: https://sid.ir/paper/942389/en

    IEEE: Copy

    AHMAD MANI VARNOSFADERANI, Atefeh Kanginejad, and YADOLLAH YAMINI, “MULTIVARIATE CURVE RESOLUTION WITH LASSO REGRESSION: A SURVEY ON ESTIMATION OF ROTATIONAL AMBIGUITY FOR SPARSITY CONSTRAINT,” presented at the IRANIAN SEMINAR OF ANALYTICAL CHEMISTRY. 2016, [Online]. Available: https://sid.ir/paper/942389/en

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