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Multimodal Retrieval in the Medical Domain [electronic resource] : First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers / edited by Henning Müller, Oscar Alfonso Jimenez del Toro, Allan Hanbury, Georg Langs, Antonio Foncubierta Rodriguez.

Medverkande: Materialtyp: TextSerie: Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2015Utgåva: 1st ed. 2015Beskrivning: VIII, 153 p. 35 illus. in color. online resourceInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783319244716
Ämnen: DDK-klassifikation:
  • 006.7 23
Onlineresurser:
Innehåll:
Importance of data other than text for information retrieval -- Semantic data analysis -- Scalability approaches towards big data sets.
Sammanfattning: This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval  in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015. The workshop was held in connection with ECIR 2015. The 14 full papers presented, including one invited paper, a workshop overview and five papers on the VISCERAL Retrieval  Benchmark, were carefully reviewed and selected from 18 submissions. The papers focus on the following topics: importance of data other than text for information retrieval; semantic data analysis; scalability approaches towards big data sets.
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Importance of data other than text for information retrieval -- Semantic data analysis -- Scalability approaches towards big data sets.

This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval  in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015. The workshop was held in connection with ECIR 2015. The 14 full papers presented, including one invited paper, a workshop overview and five papers on the VISCERAL Retrieval  Benchmark, were carefully reviewed and selected from 18 submissions. The papers focus on the following topics: importance of data other than text for information retrieval; semantic data analysis; scalability approaches towards big data sets.

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