Company Filing History:
Years Active: 2019
Title: Innovations by Jonathan A Lindgren
Introduction
Jonathan A Lindgren is an accomplished inventor based in San Luis Obispo, CA. He has made significant contributions to the field of data reconstruction through his innovative patent. His work focuses on improving the accuracy and efficiency of data imputation, which is crucial in various applications, including image and video processing.
Latest Patents
Jonathan 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 those entries with random data, and performing multiple iterations to refine the dataset. Key steps include selecting a column for updating, 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
Jonathan is associated with Cal Poly Corporation, where he applies his expertise in data reconstruction. His innovative approach has positioned him as a valuable asset in his field. With a focus on practical applications, he continues to explore new methods for improving data quality.
Collaborations
Jonathan collaborates with talented individuals such as Erin P J Pearse and Chad Eckman. Their combined efforts contribute to advancing research and development in data imputation techniques.
Conclusion
Jonathan A Lindgren's work exemplifies the impact of innovation in data reconstruction. His patent and collaborations highlight the importance of addressing challenges in data integrity. Through his contributions, he continues to pave the way for advancements in technology and data analysis.