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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2016-12-15
14:30
Tottori   [Invited Talk] Dynamic datasets for flexible pattern recognition -- The 2nd Grand Challenge of PRMU --
Mitsuru Ambai (Denso IT Laboratory, Inc.) PRMU2016-113
Standard pattern recognition uses N labelled data to learn a mapping function that relates an input pattern to a pre-def... [more] PRMU2016-113
p.11
PRMU 2016-12-16
13:15
Tottori   PRMU2016-122 (To be available after the conference date) [more] PRMU2016-122
pp.47-52
PRMU 2015-12-21
15:10
Nagano   Local feature description for keypoint matching
Mitsuru Ambai (Denso IT Laboratory, Inc.), Takahiro Hasegawa, Hironobu Fujiyoshi (Chubu University) PRMU2015-104
A task of finding physically the sample points among multiple images captured from different viewpoints is called as key... [more] PRMU2015-104
pp.53-73
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Gaussian Sparse Hashing
Koichiro Suzuki, Mitsuru Ambai, Ikuro Sato (Denso IT Labo) IBISML2013-56
Binary hashing has been widely used for Approximate Nearest Neighbor(ANN) search due to fast query
speed and less stora... [more]
IBISML2013-56
pp.155-160
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. A Binary Coding Method Based on Second Order Moment
Koichiro Suzuki, Mitsuru Ambai, Ikuro Sato (Denso ITlab.) IBISML2012-62
We propose a binary coding method using the 2nd order statics of data. We
assume the data are described by the Multivar... [more]
IBISML2012-62
pp.199-203
PRMU, FM 2011-12-15
16:45
Shizuoka Hamamatsu Campus, Shizuoka Univ. [Special Talk] Advanced researches on image features for recent computational devices
Mitsuru Ambai (Denso IT Laboratory, Inc.) PRMU2011-131
In this paper, we introduce our two researches in the context of recent development on computational devices. The first... [more] PRMU2011-131
pp.37-40
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
ITS 2005-09-05
13:30
Tokyo Kikai-Shinko-Kaikan Bldg. Vehicle Tracking Method Using Feature Points Extraction and Graph Cuts
Mitsuru Ambai, Shinji Ozawa (Keio Univ.)
 [more] ITS2005-17
pp.7-12
 Results 1 - 12 of 12  /   
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