Los Angeles, CA, United States of America

Brian K Foo

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2013.


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Innovations by Brian K Foo

Introduction

Brian K Foo is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of computer science, particularly in the area of classifier structures. With a focus on optimizing resource constraints, his work has implications for various applications in data classification.

Latest Patents

Brian K Foo holds a patent titled "Configuring individual classifiers with multiple operating points for cascaded classifier topologies under resource constraints." This patent describes a computer-implemented method for configuring a classifier structure. The method includes receiving a classifier structure for identifying a feature of input data, adding multiple operating points to a parent binary classifier, and setting these operating points to minimize total costs based on available resources. Each operating point plays a crucial role in how data is classified by the parent binary classifier for distribution to child binary classifiers. He has 1 patent to his name.

Career Highlights

Brian is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM allows him to collaborate with leading experts in the field and contribute to innovative projects that push the boundaries of technology.

Collaborations

Some of his notable coworkers include Lisa Amini and Deepak Srinivas Turaga. Their collaboration fosters a creative environment that enhances the development of cutting-edge technologies.

Conclusion

Brian K Foo's contributions to the field of computer science through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way data classification is approached in various applications.

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