Company Filing History:
Years Active: 2025
Title: Matthieu Francois Perrinel: Innovator in Machine Learning and Ground Classification
Introduction
Matthieu Francois Perrinel is a notable inventor based in Berkeley, CA. He has made significant contributions to the field of machine learning, particularly in ground classification techniques. With a total of 2 patents, his work has advanced the understanding and application of machine learning in various environments.
Latest Patents
Perrinel's latest patents include innovative systems and methods for ground classification. One patent focuses on machine learning techniques that involve obtaining a point cloud representing an environment based on a plurality of points in three-dimensional space. This method classifies points in the point cloud as ground or not-ground using various ground classification algorithms. It also generates feature data for a machine learning model based on these classifications and associated features.
Another patent pertains to high-dimensional transfer learning. This method applies learning weights developed for training a first model on a first data set of image data to a second model for a second data set of sensor data. The second data set has a greater number of channels than the first, allowing for more complex data analysis and model training.
Career Highlights
Throughout his career, Matthieu has worked with prominent companies such as Matterport, Inc. and CoStar Realty Information, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in machine learning and data analysis.
Collaborations
Perrinel has collaborated with talented individuals in his field, including Kevin Balkoski and Edward Melcher. These partnerships have fostered innovation and the exchange of ideas, further enhancing his contributions to technology.
Conclusion
Matthieu Francois Perrinel is a distinguished inventor whose work in machine learning and ground classification has made a significant impact. His patents and career achievements reflect his dedication to advancing technology and innovation.