US Patent Issued to DeepNorth on March 25 for "Semi-supervised person re-identification using multi-view clustering" (American, Chinese Inventors)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,260,333, issued on March 25, was assigned to DeepNorth Inc. (San Carlos, Calif.).

"Semi-supervised person re-identification using multi-view clustering" was invented by Jinjun Wang (San Jose, Calif.) and Xiaomeng Xin (Xi'an, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A semi-supervised model incorporates deep feature learning and pseudo label estimation into a unified framework. The deep feature learning can include multiple convolutional neural networks (CNNs). The CNNs can be trained on available training datasets, tuned using a small amount of labeled training samples, and stored as the original models. Features are then extracted for unlab...