Pittsburgh, PA, United States of America

Seung-il Huh


Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2013-2014

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Seung-il Huh: Innovator in Nonnegative Matrix Factorization

Introduction

Seung-il Huh is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of nonnegative matrix factorization, holding a total of 3 patents. His work focuses on enhancing data representation through innovative mathematical techniques.

Latest Patents

Huh's latest patents include advancements in supervised nonnegative matrix factorization. One of his notable inventions involves incorporating graph embedding into nonnegative matrix factorization (NMF). This approach allows for the inclusion of negative values in the definition of graph embedding without compromising the nonnegative requirement of NMF. The factorized matrices are derived through an iterative process, showcasing the depth of his research.

Another significant patent by Huh is the supervised kernel nonnegative matrix factorization. This invention generates a descriptive part-based representation of data, leveraging the concept of kernel NMF along with the discriminative nature of graph embedding. The iterative procedure he presents optimizes the formulation based on Pareto optimization, eliminating reliance on combined optimization schemes.

Career Highlights

Seung-il Huh is currently associated with Seiko Epson Corporation, where he continues to push the boundaries of innovation in his field. His work has garnered attention for its practical applications and theoretical advancements.

Collaborations

Huh collaborates with talented individuals such as Mithun Das Gupta and Jing Xiao, contributing to a dynamic research environment that fosters innovation.

Conclusion

Seung-il Huh's contributions to nonnegative matrix factorization exemplify the intersection of mathematics and technology. His patents reflect a commitment to advancing data representation techniques, making a lasting impact in his field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…