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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, CNR 2015-02-20
09:00
Miyagi   An Examination of Semantic Segmentation by Using Characteristics Information of Categories -- by Using Object Detection, Object Recognition and Foreground-Background Information --
Shota Terui, Kazunori Kojima, Yoshiaki Itoh, Masaaki Ishigame (IPU) PRMU2014-138 CNR2014-53
The purpose of this study is to recognize the category of existing objects in an image per pixel. Candidate region of ob... [more] PRMU2014-138 CNR2014-53
pp.119-124
MBE 2015-01-22
15:15
Kumamoto Kumamoto University Neuronal population responses to 3D objects in the posterior part of inferotemporal cortex
Shintaro Saruwatari, Jun-ya Okamura, Reona Yamaguchi, Jin Oshima, Misaki Yoshimitsu, Gang Wang (Kagoshima Univ.) MBE2014-102
Discrimination experience of similar objects at the same viewing angles develops viewing angle tolerance in the neurons ... [more] MBE2014-102
pp.43-46
NC, MBE
(Joint)
2014-03-17
15:40
Tokyo Tamagawa University Temporal relationship between object category representation and the level of category abstraction in the human visual cortex
Masashi Sato, Yoichi Miyawaki (UEC) NC2013-128
Object categories can be hierarchically ordered from abstract to concrete levels. Previous studies showed that the corre... [more] NC2013-128
pp.227-232
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-24
10:10
Osaka   Object recognition by the selection of visual words according to each category using frequency histograms
Tatsunori Tomura, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-112 MVE2013-53
The general object recognition is a task that enables a computer to recognize an object and scene in images. In this pap... [more] PRMU2013-112 MVE2013-53
pp.195-200
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Auto-Colorization of Monochrome Images using Object Recognition and Markov Random Field
Hitoshi Matsuo, Takaki Makino (Univ. Tokyo) IBISML2012-83
We introduce a new auto-colorization method which appends color information to a monochrome picture based on a training ... [more] IBISML2012-83
pp.351-358
NLP 2011-07-01
13:20
Hokkaido Shari-cho Kohminkan: Yme-hall Shiretoko Analysis of Psychiatrist's Subconsciousness based on Decision Tree Learning
Hiroshi Yamamoto, Mamoru Tanaka (Sophia Univ.) NLP2011-42
There is a psychological illness called Schizophrenia. We do not have any clear diagnostic materials. Therefore the doct... [more] NLP2011-42
pp.101-105
PRMU, IE, MI 2010-05-14
14:45
Aichi Chubu Univ. An Analysis of the Impact of a Training Dataset Expansion for Generic Object Recognition
Takumi Toyama, Koichi Kise (Osaka Prefecture Univ.) IE2010-40 PRMU2010-28 MI2010-28
In the field of pattern recognition, it is well known that the contents of a training dataset affects the recognition pe... [more] IE2010-40 PRMU2010-28 MI2010-28
pp.145-150
PRMU 2009-11-27
15:10
Ishikawa Ishikawa Industrial Promotion Center Coarse to Fine Approach for Object Category Detection using Appearance of Local Features
Takuya Minagawa, Hideo Saito (Keio Univ) PRMU2009-129
Sliding window is the most popular approach to detect position of an object in an image. However it is well known that p... [more] PRMU2009-129
pp.259-264
PRMU 2009-08-31
17:25
Miyagi Tohoku Univ. A Method for Constructing a High-Accuracy Classifier Using Divide and Conquer Strategy Based on Boosting
Masamitsu Tsuchiya, Hironobu Fujiyoshi (Chubu Univ) PRMU2009-66
Detecting objects like faces and people requires that objects of the same category but of many different poses be detect... [more] PRMU2009-66
pp.81-86
PRMU, IE 2008-03-11
11:00
Ishikawa  
() IE2007-319 PRMU2007-303
Certain objects that appear in images from the real world often appear together, while other sets of objects rarely appe... [more] IE2007-319 PRMU2007-303
pp.363-370
PRMU 2006-09-08
17:40
Fukuoka  
Keiji Yanai (UEC)
"Generic object recognition" aims at enabling a computer to recognize objects in images with their category name... [more] PRMU2006-76
pp.121-134
 Results 1 - 11 of 11  /   
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