Abstract: This invention relates to a method of blocking or passing messages sent via a firewall, based on parsing, of symbols strings contained in said messages, among different keywords, assigning to said messages either a blocking class or a passing class, comprising: performing a dimensionality reduction step for said different classes on a training set of messages whose classes are known, and then classifying one or more unknown messages among said different classes with reduced dimensionality, said dimensionality reduction step being performed on said training set of messages by machine learning including processing, for several first matrices and for several second matrices, a parameter representative of a product of two first and second matrices to assess to which given class a given message belongs: first matrix representing a first array of keywords versus symbols strings contained in a first given message, second matrix representing the values of differences between said first array and a second array of key

Abstract: This invention relates to a method of classification of images among different classes comprising: performing a dimensionality reduction step for said different classes on a training set of images whose classes are known, and then classifying one or more unknown images among said different classes with reduced dimensionality, said dimensionality reduction step being performed on said training set of images by machine learning including processing, for at least a first matrix and for at least a second matrix, a parameter representative of a product of two first and second matrices to assess to which given classes several first given images respectively belong: first matrix representing the concatenation, for said several first given images, of the values of the pixels of each said first given image, second matrix representing the concatenation, for said several first given images, of the values of differences between the pixels of each said first given image and the pixels of a second given image different fro

Abstract: This invention relates to a method of blocking or passing messages sent via a firewall, based on parsing, of symbols strings contained in said messages, among different keywords, assigning to said messages either a blocking class or a passing class, comprising: performing a dimensionality reduction step for said different classes on a training set of messages whose classes are known, and then classifying one or more unknown messages among said different classes with reduced dimensionality, said dimensionality reduction step being performed on said training set of messages by machine learning including processing, for several first matrices and for several second matrices, a parameter representative of a product of two first and second matrices to assess to which given class a given message belongs: first matrix representing a first array of keywords versus symbols strings contained in a first given message, second matrix representing the values of differences between said first array and a second array of key

Abstract: This invention relates to a method of classification of images among different classes comprising: performing a dimensionality reduction step for said different classes on a training set of images whose classes are known, and then classifying one or more unknown images among said different classes with reduced dimensionality, said dimensionality reduction step being performed on said training set of images by machine learning including processing, for at least a first matrix and for at least a second matrix, a parameter representative of a product of two first and second matrices to assess to which given classes several first given images respectively belong: first matrix representing the concatenation, for said several first given images, of the values of the pixels of each said first given image, second matrix representing the concatenation, for said several first given images, of the values of differences between the pixels of each said first given image and the pixels of a second given image different fro