Company Filing History:
3 out of 4,208 
2 out of 9,364 
1 out of 91 Years Active: 1995-2000
Title: The Innovative Contributions of Patrice Y. Simard
Introduction
Patrice Y. Simard is a notable inventor based in Eatontown, NJ (US), recognized for her significant contributions to the fields of signal processing and pattern recognition. With a total of 6 patents to her name, she has developed innovative methods that enhance the efficiency of data processing and pattern classification.
Latest Patents
One of her latest patents, titled "Efficient convolutions using polynomial covers," focuses on improving signal processing and pattern recognition. This invention utilizes a plurality of low degree polynomials to approximate images, which are then differentiated to obtain impulse functions. These impulse functions can be convolved efficiently, allowing for the integration of convolution results to extract desired signal information. Another significant patent is the "Method for pattern recognition using prototype transformations." This invention involves a pattern-recognition machine that sorts graphical input patterns by utilizing a database of prototype patterns, each labeled with its respective class. The classification process includes calculating at least two distance functions between input and prototype patterns, optimizing computational requirements by using less intensive distance functions for preliminary filtering.
Career Highlights
Throughout her career, Patrice has worked with prominent companies such as AT&T Corp. and Lucent Technologies Inc. Her experience in these organizations has contributed to her expertise in the field of technology and innovation.
Collaborations
Patrice has collaborated with notable individuals in her field, including Leon Bottou and John Stewart Denker. These collaborations have further enriched her work and expanded her impact on technology.
Conclusion
Patrice Y. Simard's innovative patents and career achievements highlight her significant role in advancing signal processing and pattern recognition technologies. Her contributions continue to influence the industry and inspire future innovations.