This inventor holds 1 USPTO granted patent. Top assignee: Mitsubishi Electric Research Labs.. Active years: 2006.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2006
Title: The Innovations of Ming-Hsuan Yang
Introduction
Ming-Hsuan Yang is a notable inventor based in Urbana, IL (US). He has made significant contributions to the field of image processing and machine learning. His work primarily focuses on gender classification using advanced algorithms.
Latest Patents
Ming-Hsuan Yang holds a patent titled "Gender classification with support vector machines." This innovative method classifies images of faces according to gender. The process involves supplying training images of male and female faces to a support vector machine. A small number of support vectors are determined from these training images, which help identify a hyperplane. After the training phase, a test image is supplied to the support vector machine, allowing it to classify the test image based on gender with respect to the hyperplane. He has 1 patent to his name.
Career Highlights
Ming-Hsuan Yang is currently employed at Mitsubishi Electric Research Laboratories, where he continues to advance his research in image classification and machine learning technologies. His work has garnered attention for its practical applications in various industries.
Collaborations
Ming-Hsuan Yang collaborates with Baback Moghaddam, a fellow researcher in the field. Their partnership has led to advancements in the understanding and implementation of machine learning techniques.
Conclusion
Ming-Hsuan Yang's contributions to gender classification through support vector machines highlight his innovative spirit and dedication to advancing technology. His work continues to influence the field of image processing and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
