Cordoba, Argentina

Jorge Sanchez



Average Co-Inventor Count = 2.4

ph-index = 4

Forward Citations = 30(Granted Patents)


Company Filing History:


Years Active: 2012-2014

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4 patents (USPTO):Explore Patents

Title: Innovations of Jorge Sanchez

Introduction

Jorge Sanchez is a notable inventor based in Cordoba, Argentina. He has made significant contributions to the field of image classification, holding a total of 4 patents. His work focuses on advanced techniques for processing and analyzing images, which have applications in various technological domains.

Latest Patents

One of his latest patents is titled "Image classification employing image vectors compressed using vector quantization." This invention involves extracting local descriptors from an image and generating an image vector that represents these descriptors. The image vector is then compressed using a vector quantization algorithm, which enhances the efficiency of image processing. Another significant patent is "Large scale image classification," where Sanchez generates an input image representation based on local descriptors. This representation is adjusted through normalization techniques and probabilistic modeling, specifically utilizing Gaussian mixture models to improve image classification accuracy.

Career Highlights

Jorge Sanchez is currently employed at Xerox Corporation, where he continues to innovate in the field of image processing. His work has contributed to advancements in how images are classified and analyzed, making significant impacts in both academic and commercial settings.

Collaborations

Throughout his career, Sanchez has collaborated with esteemed colleagues such as Florent C Perronnin and Yan Liu. These collaborations have fostered a rich exchange of ideas and have led to the development of cutting-edge technologies in image classification.

Conclusion

Jorge Sanchez's contributions to image classification through his innovative patents and collaborations highlight his role as a leading inventor in the field. His work continues to influence advancements in technology and image processing.

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