This inventor holds 2 USPTO granted patents. Top assignee: George Mason University. Active years: 2010-2011.
Location History:
- Pasadena, CA (US) (2010)
- Fairfax, VA (US) (2011)
Company Filing History:
Years Active: 2010-2011
Title: Innovations of Shen-Shyang Ho
Introduction
Shen-Shyang Ho is an accomplished inventor based in Fairfax Station, VA (US). He has made significant contributions to the field of data processing and classification systems. With a total of 2 patents, his work showcases innovative approaches to handling data streams and classification challenges.
Latest Patents
Shen-Shyang Ho's latest patents include a "Data Stream Change Detector" and a "Classification Tool." The Data Stream Change Detector is designed to identify changes in data streams through a series of modules, including a receiving module, preprocessor module, clustering module, strangeness module, p-value module, martingale value determination module, comparison module, and an output module. This invention allows for the effective monitoring of data vectors and their changes over time. The Classification Tool, on the other hand, is a classification system that utilizes a first input module, marker module, unclassified Lagrange multiplier calculation module, and a classification module. This system is aimed at accurately classifying physical conditions based on unclassified vectors.
Career Highlights
Shen-Shyang Ho is associated with George Mason Intellectual Properties, Inc., where he continues to develop and refine his innovative ideas. His work has been instrumental in advancing the understanding and application of data processing technologies.
Collaborations
Some of his notable coworkers include Harry Wechsler and Roman A Polyak, who have contributed to the collaborative environment that fosters innovation and creativity in their projects.
Conclusion
Shen-Shyang Ho's contributions to the field of data processing and classification systems highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex data challenges and offer practical solutions for modern applications.
