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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML, PRMU, IPSJ-CVIM [detail] |
2010-09-05 10:00 |
Fukuoka |
Fukuoka Univ. |
Generic Object Recognition Based on Rough Segmentation Data Given by a User Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.) PRMU2010-59 IBISML2010-31 |
In this paper, we revisit a generic object recognition problem from a point of view of human-computer interaction. Many ... [more] |
PRMU2010-59 IBISML2010-31 pp.13-20 |
PRMU |
2009-11-26 10:40 |
Ishikawa |
Ishikawa Industrial Promotion Center |
Labeling method using co-occurance model between visual word and word Yuichi Yoshida, Mitsuru Ambai (DENSO IT LAB.) PRMU2009-99 |
In this paper, we propose a novel labeling method that uses image and text obtained from the web as a training set.Exist... [more] |
PRMU2009-99 pp.39-44 |
PRMU |
2009-11-27 15:40 |
Ishikawa |
Ishikawa Industrial Promotion Center |
Non-negative Matrix Factorization with Prior Knowledge Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.) PRMU2009-130 |
Divergence metric is sutable for histogram features and probability density distribution, because the divergence metric ... [more] |
PRMU2009-130 pp.265-270 |
PRMU |
2008-12-19 10:45 |
Kumamoto |
Kumamoto Univ. |
Annotation method of segmented regions using a number of feature points shared among different images Yuichi Yoshida, Mitsuru Ambai (Denso It Lab, Inc.) PRMU2008-176 |
We propose an object annotation method for images obtained by widely available search engines oninternet. The goal of th... [more] |
PRMU2008-176 pp.171-176 |
PRMU |
2008-12-19 11:45 |
Kumamoto |
Kumamoto Univ. |
Multiclass VisualRank: Image Ranking Method in Clustered Subsets Based on Visual Features Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc) PRMU2008-178 |
In this paper, we propose Multiclass VisualRank, a method that expands the idea of VisualRank into more than one categor... [more] |
PRMU2008-178 pp.183-188 |
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