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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 #
IN 2019-01-22
Aichi WINC AICHI Sightseeing Spot Recommendation Based on Photographer's Preference Extracted from Sightseeing Photographs
Hiroki Nakano, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-80
Along with the spread of mobile terminal devices, the number of users who take pictures during traveling and post them t... [more] IN2018-80
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
Fukuoka   A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21
The local feature extraction used in general object recognition is one of the useful method to recognize
the handwritte... [more]
PRMU2018-44 IBISML2018-21
IBISML 2017-11-10
Tokyo Univ. of Tokyo Rotated Image Recognition by Continuous execution of Angle Estimation Using a Feature Map with CNN
Nishiki Katayama, Satoshi Yamane (Kanazawa Univ.) IBISML2017-63
Feature extraction by using a Convolutional Neural Network (CNN) has made remarkable results in general object recogniti... [more] IBISML2017-63
HIP 2014-03-18
Tokyo Tokyo Univ. Task-dependence of learning scenes from multiple viewpoints
Hiroshi Matsui, Hideaki Kawabata (Keio Univ.) HIP2013-89
In this study, we investigated a mechanism of scene recognition. In Experiment 1, we used the modified procedure of Wall... [more] HIP2013-89
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2011-12-16
Aichi Nagoya Univ. Rotation and scale-invariant local feature based on co-occurrence of edge gradient and its application to general object recognition
Yoshihiko Kawai, Mahito Fujii (NHK) CS2011-78 IE2011-102
A bag-of-visual-words method based on a frequency histogram of local features is widely used for detecting general objec... [more] CS2011-78 IE2011-102
PRMU, IPSJ-CVIM 2010-11-18
Fukui   Object recognition based on human activity using pose n-grams
Yasumasa Sasano, Atsuhiro Kojima, Koichi Kise (Osaka Pref. Univ.) PRMU2010-114
In recent years, an aproach of object recognition by observing human behavior have been proposed. On
the other hand, Ba... [more]
NC 2010-10-23
Fukuoka Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) A neural network model for multiple 3D object recognition
Yasuaki Higuchi, Nobuhiko Asakura, Toshio Inui (Kyoto Univ.) NC2010-44
We propose a neural network model for recognition of multiple objects that extends the Generalized Radial Basis Function... [more] NC2010-44
 Results 1 - 7 of 7  /   
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