This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2010.
Company Filing History:
Years Active: 2010
Title: The Innovations of Philip Cowans
Introduction
Philip Cowans is an accomplished inventor based in Cambridge, GB. He has made significant contributions to the field of data partitioning and labeling through his innovative patent. His work is particularly relevant in the context of graphical models and their applications in various data types.
Latest Patents
Cowans holds a patent titled "Partitioning data elements of a visual display of a tree using weights obtained during the training state and a maximum a posteriori solution for optimum labeling and probability." This patent outlines a graphical model for describing probability distributions over labeled partitions of an undirected graph, conditioned on observed data. The method allows for efficient exact inference by leveraging the graph's structure and adapting the sum-product and max-product algorithms. This technique can be applied to partitioning and labeling hand-drawn ink fragments, image data, speech data, and natural language data, among other data types. A notable advantage of this method is the significant performance increase achieved by simultaneously labeling and partitioning data elements.
Career Highlights
Philip Cowans is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His expertise in data partitioning and labeling has positioned him as a valuable asset in the tech industry.
Collaborations
Cowans has collaborated with Martin Szummer, further enhancing the scope and impact of his work in the field.
Conclusion
Philip Cowans is a notable inventor whose work in data partitioning and labeling has the potential to transform various applications in technology. His innovative approach and contributions to the field are commendable and reflect his dedication to advancing the understanding of graphical models.
