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1. WO2021237156 - METHOD AND SYSTEM FOR GENERATING TRAINING DATA TO BE USED IN MACHINE LEARNING MODELS

Publication Number WO/2021/237156
Publication Date 25.11.2021
International Application No. PCT/US2021/033756
International Filing Date 21.05.2021
IPC
G06K 9/62 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
CPC
G06K 9/6256
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
G06K 9/6263
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6262Validation, performance evaluation or active pattern learning techniques
6263based on the feedback of a supervisor
G06K 9/6272
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
6271based on distances to prototypes
6272based on distances to cluster centroïds
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • KNOBLOCH, Charles [US]/[US]
Inventors
  • KNOBLOCH, Charles
Priority Data
63/028,54621.05.2020US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) METHOD AND SYSTEM FOR GENERATING TRAINING DATA TO BE USED IN MACHINE LEARNING MODELS
(FR) PROCÉDÉ ET SYSTÈME DE GÉNÉRATION DE DONNÉES DE FORMATION À UTILISER DANS DES MODÈLES D'APPRENTISSAGE AUTOMATIQUE
Abstract
(EN) A computer-assisted method for generating training data to be used in machine learning models by: retrieving, by multiple users, images concerning a same subject to be investigated; generating, by the multiple users, identifiers per each of the images, and the identifiers per each of the images are respectively associated with a different feature being used to classify the subject; registering the identifiers in accordance with respective expert knowledge approbations of the multiple users; collecting, by a common computing infrastructure, the registered identifiers from the multiple users; generating, by the common computing infrastructure, training data to be used in machine learning models based on the collected identifiers.
(FR) Procédé assisté par ordinateur pour générer des données de formation à utiliser dans des modèles d'apprentissage automatique consistant : à récupérer, par de multiples utilisateurs, des images concernant un même sujet à examiner; à générer, par les multiples utilisateurs, des identifiants pour chacune des images, et les identifiants pour chacune des images sont respectivement associés à une caractéristique différente utilisée pour classer le sujet; à enregistrer les identifiants conformément à des approbations de connaissances d'expert respectives des multiples utilisateurs; à collecter, par une infrastructure informatique commune, les identifiants enregistrés provenant des multiples utilisateurs; à générer, par l'infrastructure informatique commune, des données de formation à utiliser dans des modèles d'apprentissage automatique sur la base des identifiants collectés.
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