Multimedia, Mathematics & Machine Learning II (09w5056)
Organizers
Jeffrey Bloom (Dialogic Research Inc.)
Li Deng (Microsoft Research)
Rabab Ward (University of British Columbia)
Description
The Banff International Research Station will host the "Multimedia, Mathematics & Machine Learning II" workshop next week, July 5 - July 10, 2009.
Multimedia technologies have evolved and continue to evolve at a very rapid rate. They are now widely deployed in industries in a multitude of applications which affect the way we live, communicate, interact with each other, work, and play. The aim of this workshop is to push the state of the art in multimedia processing so as to create next-generation multimedia technologies that are intelligent, robust, effective, integrative, and unifying across all media types. Academic researchers and industry innovators who have rich working/research experiences in one or more media types will share their experiences on the commonalities and differences in processing the different types of media contents. To increase the level of processing intelligence, machine learning which provides a rich set of practical algorithms derived from rigorous mathematical analysis and are applicable across the different media types will form as a principal element in the workshop's theme.
Multimedia technologies have evolved and continue to evolve at a very rapid rate. They are now widely deployed in industries in a multitude of applications which affect the way we live, communicate, interact with each other, work, and play. The aim of this workshop is to push the state of the art in multimedia processing so as to create next-generation multimedia technologies that are intelligent, robust, effective, integrative, and unifying across all media types. Academic researchers and industry innovators who have rich working/research experiences in one or more media types will share their experiences on the commonalities and differences in processing the different types of media contents. To increase the level of processing intelligence, machine learning which provides a rich set of practical algorithms derived from rigorous mathematical analysis and are applicable across the different media types will form as a principal element in the workshop's theme.
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the US National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).
