Eric C Schneider

Title: Innovator Eric C. Schneider: A Pioneer in Pattern Recognition Systems

Introduction

Eric C. Schneider, based in Redwood City, CA, is a noteworthy inventor known for his significant contributions to the field of pattern recognition. With a portfolio of three patents, Eric has developed innovative solutions that enhance the capabilities of pattern learning, recognition, and metrology. His work is particularly relevant in the analysis of biological signals.

Latest Patents

Eric's latest patent focuses on a comprehensive pattern recognition system that introduces methods, apparatuses, and systems aimed at pattern learning and recognition. This invention presents a flexible platform incorporating pattern recognition engines that can be dynamically tailored to accommodate specific configurations for various applications. Notably, Eric's system is adept at analyzing biological signals, including multi-electrode array waveform data. Additionally, the invention is designed to facilitate multi-level pattern recognition schemes by allowing for the configuration of knowledge elements into customizable operations. It also encompasses methods for dynamic learning of patterns, serving both supervised and unsupervised applications.

Career Highlights

Throughout his career, Eric has been associated with reputable companies such as Datacopy Corporation and Rokio, Inc. His experiences in these organizations provided him with the foundation to innovate in pattern recognition technologies that address complex challenges in various sectors.

Collaborations

Eric has collaborated with talented individuals in his field, including coworkers Tyson J. Thomas and Kristopher Robert Buschelman. Their joint efforts have likely contributed to the advancement of the projects they have worked on, enhancing the effectiveness of pattern recognition systems.

Conclusion

Eric C. Schneider's innovative contributions to pattern recognition systems underline his role as a significant inventor in his field. His patents not only showcase his expertise but also highlight the essential work being done to develop technologies that can analyze and recognize complex patterns, particularly in biological applications. His ongoing dedication to innovation continues to impact the industry positively.