Company Filing History:
Years Active: 2019
Title: Innovations by Erin P J Pearse
Introduction
Erin P J Pearse is an accomplished inventor based in San Luis Obispo, CA. She has made significant contributions to the field of data reconstruction through her innovative patent. Her work focuses on improving the accuracy and efficiency of data imputation, which is crucial in various applications, including image and video processing.
Latest Patents
Erin holds a patent titled "Iterated geometric harmonics for data imputation and reconstruction of missing data." This patent describes systems and methods for reconstructing missing data using iterated geometric harmonics. The method involves receiving a dataset with missing entries, initializing these entries with random data, and performing multiple iterations to update and improve the dataset. The process includes selecting a column to update, converting the dataset into a Gram matrix, and using eigenvalues and eigenvectors to fill in the missing values. The result is a reconstructed dataset that enhances the original data's integrity.
Career Highlights
Erin is associated with Cal Poly Corporation, where she applies her expertise in data reconstruction. Her innovative approach has garnered attention in the field, showcasing her ability to tackle complex problems with effective solutions.
Collaborations
Erin has collaborated with notable colleagues, including Jonathan A Lindgren and Chad Eckman. These partnerships have contributed to her success and the advancement of her research.
Conclusion
Erin P J Pearse is a pioneering inventor whose work in data imputation and reconstruction has the potential to transform how missing data is handled in various fields. Her contributions continue to inspire innovation and progress in technology.