This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Kepler Vision Technologies B.v.. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Reinier Van Den Boomgaard: Innovator in Deep Learning Technologies
Introduction
Reinier Van Den Boomgaard is a notable inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of digital image recognition through his innovative patent. His work focuses on enhancing the capabilities of convolutional neural networks, which are essential in the realm of artificial intelligence and machine learning.
Latest Patents
Reinier holds a patent for "Deep Receptive Field Networks." This invention provides a method for recognizing information in digital image data. The method includes a learning phase on a dataset of example digital images with known information. Characteristics of categories are computed automatically from each example digital image and compared to its known category. The method involves training a convolutional neural network with network parameters using the dataset. Through deep learning, each layer of the convolutional network is represented by a linear decomposition of all filters learned in each layer into basis functions.
Career Highlights
Reinier is associated with Kepler Vision Technologies B.V., a company that focuses on advanced technologies in the field of computer vision. His work at this company has allowed him to apply his innovative ideas in practical applications, contributing to the advancement of technology in image recognition.
Collaborations
Reinier collaborates with talented individuals such as Jorn-Henrik Jacobsen and Johannes Christianus Van Gemert. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in their field.
Conclusion
Reinier Van Den Boomgaard is a prominent figure in the field of deep learning and image recognition. His patent for Deep Receptive Field Networks showcases his innovative approach to solving complex problems in digital image data. His contributions continue to influence the development of advanced technologies in this rapidly evolving field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile