Kinou2
Kinou2 Subproject4
Research Organization of Information and Systems
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    Discovery of invariants in multimodal data
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Japanese
  Multimodal data available to us through the Internet and other electronic media are explosively increasing both in number and in variety. To handle such massive data for various purposes, new technologies are in need of development. With this in mind, we have started investigating a new methodology that allows us to discover from multimodal data the information relevant to the purpose at hand (which is referred to as “invariants”).
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news & events
October 12, 2007 The 2nd Workshop on Machine Learning and Optimization at ISM
August 21, 2007 Workshop on Bayesian Inference at ISM
August 16, 2006 Workshop on Machine Learning and Optimization at ISM

data
Project Discovery of invariants in multimodal data
Project Director MATSUI, Tomoko (Institute of Statistical Mathematics)
University and research laboratories that participation or relate
Institute of Statistical Mathematics, National Institute of Informatics, IRINO, Toshio (Wakayama University/Institute of Statistical Mathematics), TANABE, Kunio (Waseda University/Institute of Statistical Mathematics), HANADA, Ryoko (Kyoto University of Education)