Location History:
- Altamonte Springs, FL (US) (1997)
- Fort Collins, CO (US) (2011 - 2013)
Company Filing History:
3 out of 470 
1 out of 37 
1 out of 130 Years Active: 1997-2013
Title: Michael Joseph Kirby: Innovator in Nonlinear Function Approximation and Pattern Recognition
Introduction
Michael Joseph Kirby is a distinguished inventor based in Fort Collins, Colorado. He holds a total of 6 patents that showcase his expertise in nonlinear function approximation and pattern recognition. His innovative work has significant implications in various fields, including data modeling and financial predictions.
Latest Patents
One of Kirby's latest patents is focused on nonlinear function approximation over high-dimensional domains. This algorithm constructs nonlinear models from high-dimensional scattered data by iteratively adding new basis functions to refine the model. The placement of these basis functions is determined by a statistical hypothesis test that reveals geometric structures. The method is designed to automatically determine the number of basis functions required for an accurate fit, making it applicable to problems such as modeling data on manifolds and predicting financial time-series.
Another notable patent is for an unknown pattern set recognition system. This system compares unlabeled images with labeled data sets, mapping each to a point in a parameter space. If the point associated with the unlabeled images meets a distance criterion, it is classified according to the corresponding labeled data set. This innovative approach enhances the efficiency of pattern recognition tasks.
Career Highlights
Throughout his career, Michael Kirby has contributed to significant research initiatives. He has worked with the Colorado State University Research Foundation and the National Science Foundation, where he has applied his expertise in various research projects. His work has not only advanced the field of data modeling but has also paved the way for new methodologies in pattern recognition.
Collaborations
Michael has collaborated with notable individuals such as Arthur A Jamshidi and Christopher Scott Peterson. These collaborations have enriched his research and contributed to the development of innovative solutions in his areas of expertise.
Conclusion
Michael Joseph Kirby is a prominent inventor whose contributions to nonlinear function approximation and pattern recognition have made a lasting impact. His innovative patents and collaborative efforts continue to influence the fields of data modeling and pattern recognition.