Stephen O'Hara

Title: The Innovative Contributions of Stephen O'Hara

Introduction

Stephen O'Hara is a notable inventor based in Chicago, IL (US). He has made significant contributions to the field of machine learning and feature detection, holding a total of 4 patents. His work focuses on enhancing the efficiency and accuracy of data selection and feature detection in various applications.

Latest Patents

O'Hara's latest patents include a method, apparatus, and system for in-vehicle data selection for feature detection model creation and maintenance. This innovative approach involves selecting training observations for machine learning models by determining the distribution of features in both the training data set and a candidate pool of observations. The method allows for the effective annotation and integration of observations into the training data set, ultimately improving the training of machine learning models.

Another significant patent is the apparatus and method for efficiently training feature detectors. This invention provides a system to train a feature detector to identify specific features from images captured by a camera. The apparatus projects labeled features onto a map and refines the representation of the vehicle's path based on the registration of these features. This process enhances the training of feature detectors by utilizing images to project unlabeled features from the map.

Career Highlights

Stephen O'Hara is currently employed at Here Global B.V., where he continues to innovate in the field of machine learning and data processing. His work has been instrumental in advancing technologies that rely on accurate feature detection and data selection.

Collaborations

O'Hara collaborates with talented individuals such as Nicholas Dronen and Vladimir Shestak, contributing to a dynamic and innovative work environment.

Conclusion

Stephen O'Hara's contributions to the field of machine learning and feature detection are noteworthy. His patents reflect a commitment to improving technology through innovative solutions. His work continues to influence advancements in data processing and machine learning applications.