Company Filing History:
Years Active: 2019-2021
Title: David Matthew DeCaprio: Innovator in Machine Learning and Video Processing
Introduction
David Matthew DeCaprio is a notable inventor based in Austin, TX (US). He has made significant contributions to the fields of machine learning and video processing, holding a total of 2 patents. His work focuses on creating systems and methods that enhance the understanding and processing of data.
Latest Patents
One of his latest patents is titled "Explainable Machine Learning Models." This patent describes methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for explainable machine learning. The method involves obtaining a collection of data elements that characterize an entity, generating a feature representation of the entity, and processing this representation using a machine learning model to generate predictions. Additionally, it includes generating evidence data that explains the predictions made by the model.
Another significant patent is for "Game Video Processing Systems and Methods." This invention outlines a video processing system designed to analyze videos of sporting events. It determines the start and end points of various events within the match and automatically collects data associated with each event. The system can also segment the video into clips corresponding to each event, enhancing the viewing experience.
Career Highlights
David has worked with Closedloop.ai Inc., where he applied his expertise in machine learning and video processing. His innovative approaches have contributed to advancements in these fields, showcasing his ability to merge technology with practical applications.
Collaborations
Throughout his career, David has collaborated with notable individuals such as Andrew Everett Eye and Carol Jeanne McCall. These partnerships have further enriched his work and expanded the impact of his inventions.
Conclusion
David Matthew DeCaprio stands out as an influential inventor in the realms of machine learning and video processing. His patents reflect a commitment to innovation and a desire to improve how we understand and interact with technology.