This inventor holds 2 USPTO granted patents. Top assignees: University of California, University of Seoul Industry Cooperation Foundation. Active years: 2013-2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2013-2017
Title: Youngmin Yi: Innovator in Facial Identification Technology
Introduction
Youngmin Yi is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of facial identification technology, holding 2 patents that showcase his innovative approaches to image processing and statistical inference.
Latest Patents
One of his latest patents is a facial identification method that includes changing an image size for facial identification, converting the image of changed size to an LBP domain, and detecting a face through scanning across the converted image. This method utilizes multiple processing units to enhance efficiency. Another notable patent is a method and system for parallel statistical inference on highly parallel platforms. This invention focuses on improving the speed of statistical inference in computation-based recognition problems by selectively flattening levels of the recognition network and duplicating parts of the network to minimize critical sections in atomic accesses. These methods have been successfully implemented on an NVIDIA GTX 280 processor, achieving more than a 10× speedup compared to a highly optimized sequential implementation on an Intel Core i7 processor.
Career Highlights
Youngmin Yi has worked with esteemed institutions such as the University of California and the University of Seoul Industry Cooperation Foundation. His work has significantly impacted the development of advanced recognition technologies.
Collaborations
He has collaborated with notable individuals in his field, including Jike Chong and Ekaterina I Gonina.
Conclusion
Youngmin Yi's innovative contributions to facial identification technology and statistical inference demonstrate his expertise and commitment to advancing the field. His work continues to influence the development of efficient recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile