US Patent Issued to HRL LABORATORIES on July 1 for "System and method for classifying images with a combination of nearest-neighbor-based label propagation and kernel principal component analysis" (Oregon, California Inventors)

ALEXANDRIA, Va., July 3 -- United States Patent no. 12,347,168, issued on July 1, was assigned to HRL LABORATORIES LLC (Malibu, Calif.).

"System and method for classifying images with a combination of nearest-neighbor-based label propagation and kernel principal component analysis" was invented by Joseph Comer (Portland, Ore.) and Heiko Hoffmann (Simi Valley, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Described is a system for detecting and classifying new patterns of objects and images for applications where labeled data is scarce. In operation, the system trains a neural network with unlabeled images and extracts features with the neural network from both the unlabeled images and a set of labele...