Company Filing History:
Years Active: 2016-2019
Title: Bernhard Wolkerstorfer: Innovator in Document Data Classification
Introduction
Bernhard Wolkerstorfer is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of document data classification, holding a total of 3 patents. His work focuses on improving the efficiency and accuracy of data processing through innovative methods.
Latest Patents
One of his latest patents is titled "Document data classification using a noise-to-content ratio." This patent describes a method and system for classifying document data. The method includes classifying portions of an electronic document as substantive content or noise. It utilizes a machine learning algorithm to determine features indicative of substantive content and noise. Another patent under the same title further elaborates on identifying markup language documents and calculating noise-to-content ratios to enhance document clarity by removing noise.
Career Highlights
Bernhard currently works at Amazon Technologies, Inc., where he applies his expertise in data classification. His innovative approaches have contributed to advancements in how electronic documents are processed and understood.
Collaborations
Throughout his career, Bernhard has collaborated with talented individuals such as Lei Li and Narendra S Parihar. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Bernhard Wolkerstorfer's work in document data classification exemplifies the impact of innovation in technology. His patents reflect a commitment to enhancing data processing methods, making significant strides in the field.