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Plenary Speakers 
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 Mixed-Media Databases This workshop is intended for researchers with an interest in learning from multiple media. The workshop will emphasize both algorithms and applications of learning with mixed media databases. Papers that describe algorithms should cover either novel approaches designed to benefit from mixed-media data, or modifications of standard algorithms that utilize multiple media data sources. Application papers should clearly demonstrate the benefits of learning from two or more types of media. Different media areas to be addressed include:
If you would like to present at this workshop, please submit a three to seven page paper describing original research work and results. Four copies of the paper must be submitted in hardcopy by Feb 15, 1998. The ideal paper should cover two or more topics listed above and apply some aspect of learning to the multiple media data. The learning may involve, but is not limited to neural networks, as well as statistical and probabilistic models. All statistical, probabilistic, and learning approaches are welcome. If you plan to submit a paper or attend, please contact the organizers (listed below). Selected papers from the workshop will be considered for publication in an upcoming special issue of IEEE Expert journal. Organizers:
More Information Contact conald@cs.cmu.edu for more information The conference is sponsored by CMU's newly created Center for Automated Learning and Discovery. |
