Orem, UT, United States of America

Shawn Reid


Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2010-2023

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14 patents (USPTO):

Title: Innovations of Shawn Reid

Introduction

Shawn Reid is a prominent inventor based in Orem, Utah, known for his significant contributions to the field of image classification and analysis. With a total of 14 patents to his name, Reid has made strides in utilizing advanced technologies to enhance the understanding and organization of historical images.

Latest Patents

One of Reid's latest patents is focused on "Clustering historical images using a convolutional neural net and labeled data bootstrapping." This innovative system and method aim to classify historical images effectively. A feature extractor creates feature vectors corresponding to a plurality of images. The first classification of these images is performed based on the feature vectors, which includes assigning labels and probabilities to each image. The assigned probabilities reflect the statistical confidence that a particular label is correctly assigned. Users can interact with the system by providing input to correct any incorrect labels, leading to a second classification based on this feedback.

Career Highlights

Reid's career is marked by his work at Ancestry.com Operations Inc., where he applies his expertise in image classification to enhance the company's offerings. His innovative approach has contributed to the development of systems that improve the accuracy and efficiency of historical image classification.

Collaborations

Throughout his career, Reid has collaborated with notable colleagues, including Jack Reese and Laryn Brown. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Shawn Reid's work exemplifies the intersection of technology and historical preservation through innovative image classification methods. His contributions continue to shape the way historical images are analyzed and understood.

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