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home [2015/01/23 15:16]
marchand [Machine Learning, Data Mining and Information Retrieval]
home [2023/04/07 18:34] (current)
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)
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 See our [[research:​publications|publication list]] for more complete reports. See our [[research:​publications|publication list]] for more complete reports.
  
-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]], including:​ +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)
-   ​* ​The [[http://www.keystone-cost.eu/|KEYSTONE]] COST Action  +
-   * The [[http://www.idiap.ch/project/maaya/|MAAYA]] project+
 \\ \\
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home.1422022571.txt.gz · Last modified: 2015/01/23 15:16 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