Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima,

Efficient Pipeline Processing of Crowdsourcing Workflows

Proc. of 27th ACM International Conference on Information and Knowledge Management,
pp.1559-1562, ACM Press, October 2018 (ACM DL)

• abstract
• full text (ACM DL)
• poster
• BibTex entry

• #Italy
• #Turin
• #クラウドソーシング

Tomohiro Manabe, Keishi Tajima,

Subtopic Ranking Based on Block-Level Document Analysis

Lecture Notes in Business Information Processing, Vol. 292,
(Revised Selected Papers from Proc. of 12th International Conference on Web Information Systems and Technologies),
pp. 83-104, Springer-Verlag, October 2017

• BibTex entry

• #Italy
• #Rome
• #情報検索
• #構造化文書

Tomohiro Manabe, Keishi Tajima,

Subtopic Ranking Based on Hierarchical Headings

Proc. of 12th International Conference on Web Information Systems and Technologies,
Vol.2, pp. 121-130, SciTePress, April 2016 (SciTePress Digital Library)

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• full text
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• #Italy
• #Rome
• #情報検索
• #構造化文書

Sujeet Pradhan, Keishi Tajima, Katsumi Tanaka,

A Query Model for Retrieving Relevant Intervals within a Video Stream

Proc. of IEEE Conference on Multimedia Computing and Systems,
Vol.II, pp. 788-792, IEEE Computer Society Press, June 1999 (IEEE Xplore, IEEE CS DL)

• #Florence
• #Italy
• #データベース
• #ビデオデータ