ALEXANDRIA, Va., March 24 -- United States Patent no. 12,586,348, issued on March 24, was assigned to Intel Corp. (Santa Clara, Calif.).
"Feature fusion for multi-modal machine learning analysis" was invented by Dongqi Cassie Cai (Beijing), Anbang Yao (Beijing), Ping Hu (Beijing), Shandong Wang (Beijing) and Yurong Chen (Beijing).
According to the abstract* released by the U.S. Patent & Trademark Office: "A system to perform multi-modal analysis has at least three distinct characteristics: an early abstraction layer for each data modality integrating homogeneous feature cues coming from different deep learning architectures for that data modality, a late abstraction layer for further integrating heterogeneous features extracted from diffe...