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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC 2022-12-03
14:45
Osaka Osaka Electro-Communication University Acquisition process of value evaluation criteria of a reinforcement learning agent with embodiment and intrinsic motivation in drawing
Yoshia Abe, Shogo Yonekura, Yoshiyuki Ohmura, Yasuo Kuniyoshi (UTokyo) MBE2022-38 NC2022-60
A part of a human's aesthetic sense can be acquired through experience. However, little is known about the mechanism of ... [more] MBE2022-38 NC2022-60
pp.74-79
PRMU 2013-03-14
09:30
Tokyo   Fine-grained classification with various local descriptors and Passive-Aggressive
Naoyuki Gunji, Takayuki Higuchi, Koki Yasumoto, Hiroshi Muraoka, Yoshitaka Ushiku (Univ. of Tokyo), Tatsuya Harada (Univ. of Tokyo/JST), Yasuo Kuniyoshi (Univ. of Tokyo) PRMU2012-184
 [more] PRMU2012-184
pp.25-30
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
09:30
Tokyo   Simultaneous training of multi-class object detectors via large scale image dataset -- introduction of target specific negative classes --
Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Tatsuya Harada, Yasuo Kuniyoshi (Univ. Tokyo) PRMU2012-42 IBISML2012-25
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The ... [more] PRMU2012-42 IBISML2012-25
pp.105-112
PRMU 2011-02-17
10:00
Saitama   Large Scale Image Classification using Metric based on Correlation between Multiple Image Features and Class Labels
Yoshitaka Ushiku, Yuya Yamashita, Jun Imura, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.) PRMU2010-208
In this paper, we propose a scalable image recognition method for both image classification and image annotation. We fir... [more] PRMU2010-208
pp.1-6
PRMU 2009-11-26
11:10
Ishikawa Ishikawa Industrial Promotion Center Semantics-Based Search from Global Features of Web Images and Texts -- Toward a novel approach to realization of generic image recognition on the Web --
Yoshitaka Ushiku, Hideki Nakayama (Tokyo Univ.), Tatsuya Harada (Tokyo Univ./JST), Yasuo Kuniyoshi (Tokyo Univ.) PRMU2009-100
In these days, methods for generic image recognition are actively researched. Many works use web images as training data... [more] PRMU2009-100
pp.45-50
PRMU 2009-11-27
10:00
Ishikawa Ishikawa Industrial Promotion Center Multiple Weighted Region Features for Fast Object Recognition
Tatsuya Harada (The Univ. of Tokyo/JST), Yasuo Kuniyoshi (The Univ. of Tokyo) PRMU2009-108
 [more] PRMU2009-108
pp.109-114
PRMU 2009-11-27
13:30
Ishikawa Ishikawa Industrial Promotion Center Application of High-speed 3D Object Recognition in the Real World Using Integral Features and Linear Subspace Method
Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi (Univ. of Tokyo.) PRMU2009-123
As a previous work, we proposed a method of high-speed 3D object recognition using linear subspace method and our 3D fea... [more] PRMU2009-123
pp.207-212
PRMU 2007-12-14
11:00
Hyogo Kobe Univ. Ultra high speed image annotation/retrieval method by learning the conceptual relationship between images and labels
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.), Nobuyuki Otsu (AIST) PRMU2007-147
Content-based image recognition and retrieval are challenging
problems which have wide application.
In this paper, we ... [more]
PRMU2007-147
pp.65-70
PRMU 2004-10-22
11:30
Hiroshima   Inter-modal Learning for Acquiring Concepts from Audio-visual Input
Katsuhiko Ishiguro (Univ. Tokyo), Nobuyuki Otsu (AIST/Univ. Tokyo), Yasuo Kuniyoshi (Univ. Tokyo)
We propose an inter-modal learning system which acquires concepts
from auditory and visual information. The system ex... [more]
PRMU2004-92
pp.17-24
 Results 1 - 9 of 9  /   
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