Matthew L Campbell

Title: Matthew L. Campbell: Inventor in Neural-Network Classification

Introduction

Matthew L. Campbell is an inventor based in Billerica, Massachusetts. His work includes patent inventions involving neural networks and image and object classification. He is associated with Raytheon Company and holds 2 patents.

Latest Patents

Campbell’s listed patents address methods for using neural networks to classify images and other objects.

“Image Classification System” describes a method that identifies an image’s rotation angle with a first neural network, rotates the image accordingly, and classifies it with a second neural network. The method outputs the classification outcome, while training of the first network uses, in part, a categorical distance between training data and the network’s output.

“Classification Using Hyper-Opinions” concerns determining an object’s classification using a neural network. The classification represents probabilities for base classes and composite classes formed from “or” combinations of subsets of the base classes.

Career Highlights

The available information associates Campbell with Raytheon Company and identifies two patents in his portfolio. The described inventions focus on applying neural-network techniques to classification tasks.

Collaborations

Campbell’s listed coworkers include Suzanne M. Baker and Thomas T. Parsons. Their names are provided as professional associations, without further details about specific joint projects.

Conclusion

Matthew L. Campbell’s listed patent work centers on neural-network classification, including image orientation and probabilistic classification of objects. These inventions reflect his contributions as an inventor associated with Raytheon Company.