Company Filing History:
Years Active: 2020
Title: Li-Ming Chen: Innovator in Principal Component Analysis
Introduction
Li-Ming Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of data analysis through his innovative methods and devices. His work focuses on enhancing the efficiency of principal component analysis, a crucial technique in data processing.
Latest Patents
Li-Ming Chen holds a patent for a "Block-based principal component analysis transformation method and device thereof." This invention provides a systematic approach to principal component analysis by obtaining an input signal, dividing it into one-dimensional vectors, and processing these vectors to derive a zero-mean vector. The method further involves calculating a covariance matrix and its eigenvector, ultimately leading to the computation of a projection coefficient.
Career Highlights
Li-Ming Chen is affiliated with Tamkang University, where he continues to advance his research and development in data analysis techniques. His work has garnered attention for its practical applications in various fields, including statistics and machine learning.
Collaborations
Li-Ming Chen collaborates with esteemed colleagues such as Yang-Han Lee and Ting-Wen Chen, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work in the field.
Conclusion
Li-Ming Chen's innovative contributions to principal component analysis exemplify the importance of research and development in data processing. His patent reflects a significant advancement in the field, showcasing his dedication to innovation and collaboration.