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home [2019/02/28 15:43]
marchand
home [2023/04/07 18:34]
marchand
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 The Viper group deals with the development of **Machine Learning** and **Data Mining** techniques. Our current research interests include: The Viper group deals with the development of **Machine Learning** and **Data Mining** techniques. Our current research interests include:
  
-    * Large-scale and High-dimensional issues in Machine Learning (eg Manifold Learning)+    * Large-scale and High-dimensional issues in Machine Learning (eg Manifold Learning ​and Approximate Indexing)
     * Large-scale Data Mining (Big Data)     * Large-scale Data Mining (Big Data)
     * Large-scale Information Indexing (Distributed Indexing)     * Large-scale Information Indexing (Distributed Indexing)
  
 See our [[research:​publications|publication list]] for more complete reports. See our [[research:​publications|publication list]] for more complete reports.
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-You may read this [[http://​viper.unige.ch/​documents/​informer.pdf|article]] of the [[http://​irsg.bcs.org/​display_informers.php|Informer (Winter 2009)]], presenting the group from the IR perspective. 
  
 We are part of [[research:​projects|national and international projects]] We are part of [[research:​projects|national and international projects]]
 +
 +The Viper group collaborates closely with the [[http://​dmml.ch/​|Data Mining and Machine Learning (DMML)]] group of the University of Applied Sciences, Western Switzerland (HEG) and the [[https://​medgift.hevs.ch/​wordpress/​team/​|MedGIFT]] group from the University of Applied Sciences, Sierre, Wallis (HEVs)
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home.txt ยท Last modified: 2023/04/07 18:34 by marchand
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion