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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2018-05-14
15:15
Tokyo Kikai-Shinko-Kaikan Bldg. A study on specific emitter identification method focussing on continuous wave
Junya Nasaka, Tsukasa Sugimoto, Masaaki Kobayashi, Takeshi Kumaki (Ritsumeikan Univ.) SANE2018-10
In recent years, the development of communication technology enables the society to send information easily and rapidly.... [more] SANE2018-10
pp.51-56
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
13:30
Osaka   [Fellow Memorial Lecture] Recognition of Large-Scale, Complex Patterns Enabled by Encounters with Colleagues
Koichi Kise (Osaka Prefecture Univ.) PRMU2017-126 MVE2017-47
I have met a variety of patterns and challenged to recognize them
simply because I have encountered many colleagues who... [more]
PRMU2017-126 MVE2017-47
pp.117-122
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
10:30
Tottori   A specific object recognition method based on mixtures of probabilistic principal component analyzers
Takashi Takahashi (Ryukoku Univ.), Takio Kurita (Hiroshima Univ.) PRMU2013-47 IBISML2013-27
We investigate a method of specific object recognition that utilizes image feature representation extracted from the dis... [more] PRMU2013-47 IBISML2013-27
pp.161-166
PRMU, HIP 2012-12-13
16:00
Yamagata   [Special Talk] An Image Feature Representation by Subspaces of Local Feature Descriptors
Takashi Takahashi (Ryukoku Univ.) PRMU2012-76 HIP2012-65
We introduce a novel method to represent image features for visual object recognition. In this method, each image is rep... [more] PRMU2012-76 HIP2012-65
pp.37-42
PRMU 2009-11-26
15:20
Ishikawa Ishikawa Industrial Promotion Center [Tutorial Lecture] Specific Object Recognition
Koichi Kise (Osaka Pref. Univ.) PRMU2009-104
Specific object recognition is a process to recognize instances
of objects captured as images. In other words, it indic... [more]
PRMU2009-104
pp.79-87
PRMU 2009-11-27
09:00
Ishikawa Ishikawa Industrial Promotion Center Experimental Investigation of the Performance of a Specific Object Recognition Method with the Bloomier Filter
Katsufumi Inoue, Koichi Kise (Osaka Pref Univ) PRMU2009-109
Specific object recognition based on local feature vectors requires a huge amount of memory to store all feature vectors... [more] PRMU2009-109
pp.115-120
PRMU 2009-06-19
13:00
Hokkaido Hokkaido Univ. Memory Reduction with Bloomier Filters for Specific Object Recognition
Katsufumi Inoue, Koichi Kise (Osaka Prefecture Univ.) PRMU2009-56
pecific object recognition based on nearest neighbor search of feature vectors required a huge amount of memory to store... [more] PRMU2009-56
pp.101-106
PRMU 2009-03-14
09:30
Miyagi Tohoku Institute of Technology - -- - --
Takayuki Hondo, Koichi Kise (Osaka Pref. Univ.) PRMU2008-265
In case of conducting large-scale specific objects recognition using local features such as SIFT, the number of local fe... [more] PRMU2008-265
pp.171-176
 Results 1 - 8 of 8  /   
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