Company Filing History:
Years Active: 2020-2022
Title: Ruberth A A Barros: Innovator in Machine Learning and Image Composition
Introduction
Ruberth A A Barros is a notable inventor based in Rio de Janeiro, Brazil. He has made significant contributions to the field of machine learning, particularly in the area of cognitive image composition. With a total of 2 patents to his name, Barros is recognized for his innovative approaches to image processing.
Latest Patents
Barros's latest patents focus on an automatic method for determining image composition procedures. This method generates new image visualizations based on aggregations and variations of input images. The process begins with receiving a set of input images, from which visual features are extracted. Additionally, context associated with these input images is gathered. Using the extracted visual features and the associated context, a composition procedure is learned, which includes a set of image operations to apply to the input images. Ultimately, one or more image operations are determined for presentation to the user, and a difference visualization image can be generated by executing these operations.
Career Highlights
Ruberth A A Barros is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM allows him to collaborate with cutting-edge technologies and contribute to advancements in machine learning and image processing.
Collaborations
Barros has worked alongside talented colleagues such as Paul Borrel and Alvaro Bueno Buoro. These collaborations have likely enriched his work and fostered innovative ideas in the field.
Conclusion
Ruberth A A Barros is a prominent figure in the realm of machine learning and image composition. His patents reflect a deep understanding of visual features and context, paving the way for advancements in image processing technologies.