This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2013.
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
Title: Innovations of Jingu Kim
Introduction
Jingu Kim is an accomplished inventor based in Lawrenceville, GA (US). He has made significant contributions to the field of data clustering through his innovative patent. His work is recognized for its computational efficiency and effectiveness in large-scale applications.
Latest Patents
Jingu Kim holds a patent for "Variational mode seeking." This mode-seeking clustering mechanism identifies clusters within a data set based on the location of individual data points according to modes in a kernel density estimate. For large-scale applications, the clustering mechanism utilizes rough hierarchical kernels and data partitions in a computationally efficient manner. A variational approach to the clustering mechanism takes into account variational probabilities, which are restricted in certain ways according to hierarchical kernel and data partition trees. The mechanism stores certain statistics within these trees to compute the variational probabilities efficiently. The clustering mechanism employs a two-step variational expectation and maximization algorithm, where the maximization step can be performed in various ways to accommodate different mode-seeking algorithms, such as the mean shift, mediod shift, and quick shift algorithms. Jingu Kim has 1 patent to his name.
Career Highlights
Jingu Kim is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work has had a significant impact on the field of data analysis and clustering.
Collaborations
Jingu Kim collaborates with Bo Thiesson, enhancing the scope and depth of their research and innovations.
Conclusion
Jingu Kim's contributions to the field of data clustering through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way data is analyzed and interpreted in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
