Cupertino, CA, United States of America

Vijayendra Mysore Shamanna

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):

Title: Innovations by Vijayendra Mysore Shamanna

Introduction

Vijayendra Mysore Shamanna is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of data extraction through his innovative patents. With a total of 2 patents, his work focuses on enhancing the efficiency of information retrieval from various document types.

Latest Patents

One of his latest patents is titled "Automatically extracting tabular data included within a source document." This patent discloses systems and methods for automatically extracting relevant information from source documents that contain tabular data. The technique is designed to detect table header data in specific regions of the document and associate values with the extracted headers. It can combine snippets of smaller tables into a cohesive table with properly designated headers.

Another notable patent is "Automatically extracting key-value data included in heterogeneous document types using graph representation learning." This invention outlines systems and methods for extracting keys and corresponding values from any type of source document. The approach utilizes a uniform representation to encode features of desired tokens along with neighborhood information, allowing for effective extraction of values associated with given keys.

Career Highlights

Vijayendra currently works at Ushur, Inc., where he applies his expertise in data extraction technologies. His innovative contributions have positioned him as a key player in the field.

Collaborations

He collaborates with talented individuals such as Badri Nath and Henry Thomas Peter, contributing to a dynamic work environment that fosters innovation.

Conclusion

Vijayendra Mysore Shamanna's work in data extraction technologies showcases his commitment to advancing the field through innovative solutions. His patents reflect a deep understanding of complex data structures and the need for efficient information retrieval.

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