Company Filing History:
Years Active: 1996-2002
Title: The Innovations of Christopher John Burges
Introduction
Christopher John Burges is a notable inventor based in Freehold, NJ (US). He has made significant contributions to the field of machine learning and speaker verification, holding a total of 7 patents. His work has advanced the understanding and application of Gaussian mixture models and support vector machines.
Latest Patents
One of his latest patents is titled "Discriminative Gaussian Mixture Models for Speaker Verification." This invention focuses on speaker identification using a single Gaussian mixture model (GMM) for multiple speakers, known as a Discriminative Gaussian mixture model (DGMM). The method involves factoring the likelihood sum of the GMM into two parts, allowing for the use of a binary classifier, such as a support vector machine (SVM). This innovation is particularly useful in voice messaging systems, where it identifies the speaker from a list of target speakers or classifies them as a "non-target." Another significant patent is the "Method and Apparatus for Improving the Efficiency of Support Vector." This invention enhances the efficiency of algorithms that map to higher-dimensional spaces by utilizing reduced set vectors determined through an optimization approach, differing from traditional eigenvalue computations.
Career Highlights
Christopher has worked with prominent companies such as Lucent Technologies Inc. and AT&T Corp. His experience in these organizations has contributed to his expertise in machine learning and speaker verification technologies.
Collaborations
Throughout his career, Christopher has collaborated with esteemed professionals in the field, including Yann A. Le Cun and Ofer Matan. These collaborations have further enriched his work and innovations.
Conclusion
Christopher John Burges is a distinguished inventor whose contributions to machine learning and speaker verification have made a lasting impact. His innovative patents and collaborations reflect his commitment to advancing technology in these fields.