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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2022-07-09
13:35		 Online Online Retrieval of Similar Questions from QAbot Data based on Transformer Language Model
Zihao Chen, Hisashi Handa, Kimiaki Shirahama (Kindai Univ.) ET2022-9		 It has recently become possible to collect a large amount of question-answer pairs that arose in certain educational cou... [more] ET2022-9
pp.5-11
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2013-02-18
10:00		 Hokkaido Hokkaido Univ. Efficient Saliency Estimation Using Weakly Supervised Learning and Its Application to Video Classification
Tadashi Matsumura (Kobe Univ.), Kimiaki Shirahama (Muroran Inst. of Tech.), Kuniaki Uehara (Kobe Univ.) 		 [more]
DE 2012-12-12
16:05		 Kyoto Campus Plaza Kyoto Online Video Annotation Game with Active Learning and Tag Ranking
Yui Watanabe (Kobe Univ.), Kimiaki Shirahama (Muroran Tech.), Kuniaki Uehara (Kobe Univ.) DE2012-27		 In order to build a classifier which can accurately detect the presence of a concept in videos, a large number of traini... [more] DE2012-27
pp.73-78
PRMU, HIP 2012-03-30
11:40		 Hyogo   Evaluating the Effectiveness of Virtual Reality Technique for Query-by-Example Video Retrieval
Kimiaki Shirahama, Tomomi Koumura, Kuniaki Uehara (Kobe Univ.) PRMU2011-269 HIP2011-97		 Query-By-Example (QBE) retrieves shots which contain similar features (e.g., color, edge and motion) to those of example... [more] PRMU2011-269 HIP2011-97
pp.183-188
PRMU, IBISML, IPSJ-CVIM [detail] 2011-09-06
10:30		 Hokkaido   Query by Virtual Example: Utilizing Virtual Reality Techniques to Create Virtual Examples for Constructing Video Retrieval Models
Kimiaki Shirahama, Kuniaki Uehara (Kobe Univ.) PRMU2011-73 IBISML2011-32		  [more] PRMU2011-73 IBISML2011-32
pp.139-144
PRMU 2011-02-18
14:00		 Saitama   Negative Selection for High Dimensional Feature in Video Retrieval with Query-by-Example Method
Yuta Matsuoka, Kimiaki Shirahama, Kuniaki Uehara (Kobe Univ.) PRMU2010-227		 The query-by-example approach can be considered as partially supervised learning, where a retrieval model for a query is... [more] PRMU2010-227
pp.123-128
PRMU 2011-02-18
14:30		 Saitama   Retrieving a Large Variety of Videos from a Small Number of Example Videos based on Rough Set Theory
Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara (Kobe Univ.) PRMU2010-228		 This paper presents a query-by-example method which retrieves relevant shots to a query using examples provided by a use... [more] PRMU2010-228
pp.129-134
 Results 1 - 7 of 7  /   
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