ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,937, issued on Nov. 11, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).

"Device and method for training a classifier using an invertible factorization model" was invented by Volker Fischer (Renningen, Germany), Chaithanya Kumar Mummadi (Heimsheim, Germany) and Thomas Pfeil (Kornwestheim, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for training a classifier. The classifier is configured to determine an output signal characterizing a classification of an input signal. The training of the classifier includes: determining a first training input signal; determining a first latent representation comprising ...