Christopher M Pilcher

Title: Christopher M. Pilcher: Innovator in Machine Learning and Object Classification

Introduction

Christopher M. Pilcher is a prominent inventor based in Dallas, TX, known for his contributions to machine learning and object classification technologies. With a total of five patents to his name, Pilcher has made significant strides in developing systems and methods that enhance automatic target recognition and decision explanation.

Latest Patents

Among his latest patents, Pilcher has developed innovative methods for object classification based on spatially discriminated parts. One notable patent involves devices, systems, and methods for machine learning automatic target recognition decision explanation. This method includes receiving an object specification matrix from an object model database, which indicates the presence or absence of various features in the physical portions of an object. It also involves determining the probability and corresponding uncertainty that an image corresponds to the object, thereby aiding in its classification. Another patent focuses on feature extraction, labeling, and object feature map generation, which includes training an ensemble classifier based on labeled image chips.

Career Highlights

Christopher M. Pilcher is currently employed at Raytheon Company, where he applies his expertise in machine learning and object classification. His work has been instrumental in advancing technologies that are crucial for various applications in defense and security.

Collaborations

Pilcher has collaborated with notable colleagues, including John R. Goulding and Christopher Harris, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Christopher M. Pilcher's contributions to the field of machine learning and object classification demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of technology and its applications, making him a valuable asset in his field.