The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 23, 2024

Filed:

Sep. 15, 2017
Applicant:

Technische Universitäat Dresden, Dresden, DE;

Inventors:

Gerald Steiner, Schwarzenberg, DE;

Grit Preusse, Radebeul, DE;

Edmund Koch, Dresden, DE;

Roberta Galli, Dresden, DE;

Christian Schnabel, Dresden, DE;

Johanna Preusse, Radebeul, DE;

Assignee:

TECHNISCHE UNIVERSITÄT DRESDEN, Dresden Sachsen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01J 3/28 (2006.01); G06N 3/08 (2023.01); G01N 33/08 (2006.01); A61B 5/00 (2006.01); G06F 18/2431 (2023.01); G01N 21/65 (2006.01);
U.S. Cl.
CPC ...
G01J 3/28 (2013.01); A61B 5/0075 (2013.01); G01N 33/08 (2013.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G01N 21/65 (2013.01); G06F 2218/12 (2023.01);
Abstract

The invention relates to a method for classifying spectra of objects having complex information content after recording of the spectra involving the use of a method for preprocessing data and of a method, associated with the data preprocessing, for classification with the calculation of a classifier. After the recording of the spectra and the preprocessing of the spectra, a multiple classification method is thereby performed with at least two different methods for the data preprocessing of the spectra and the method, assigned to the respective data preprocessing, for classification. After the recording and the data preprocessing of the spectra, the following steps are thereby carried out: a calculation of multiple classifiers of the series per type of data preprocessing; a determination of the classifiers of the series with iterative adjustment and validation; a calculation of probabilities of the class association, with all classifiers of the series or classifiers being equally incorporated into the determination of a classification result.


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