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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2022-01-27
13:25
Online Online Access Control Using Feature Map Transformation With Secret Key for Object Detection Models
Teru Nagamori, Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-85
In this paper, we propose an access control method for object detection models.
The use of transformed images or transf... [more]
EMM2021-85
pp.7-12
AP 2020-12-17
13:50
Online Online A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] AP2020-98
pp.13-17
MI 2016-01-20
13:50
Okinawa Bunka Tenbusu Kan Tissue Volume Model Mapping onto Target Volume Based on modified Self-organizing Deformable Model
Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji (Kyushu Univ.), Yasushi Miyagi (Kaizuka hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2015-135
This paper proposes a new method for mapping volume models of human tissues onto a target volume with simple shape. The ... [more] MI2015-135
pp.305-308
PRMU 2014-03-14
10:45
Tokyo   Evaluation of image local features for the improvement of face tracking accuracy
Shogo Kawai, Maiya Hori, Hiroki Yoshimura, Yoshio Iwai (Tottori Univ.) PRMU2013-201
We present local feature evaluation for a constrained local model (CLM) framework.
We target facial images captured by ... [more]
PRMU2013-201
pp.197-202
PRMU, CNR 2014-02-13
16:10
Fukuoka   [Poster Presentation] Pedestrian Detection by Channel Features based on Context
Yohei Takayanagi, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2013-144 CNR2013-52
In this paper, we propose the method of pedestrian detection based on context model between pedestrians and background.
... [more]
PRMU2013-144 CNR2013-52
pp.103-104
SP, IPSJ-SLP 2013-12-19
16:00
Tokyo   Improvement of AF-based Voice Conversion for Arbitrary Speakers
Narpendyah Wisjnu Ariwardhani (TUT), Yurie Iribe (Aichi Prefectureal Univ.), Kouichi Katsurada (TUT), Tsuneo Nitta (Waseda Univ.) SP2013-85
In this paper, we use artificial neural networks (ANNs) for articulatory feature (AF) based voice conversion. ANNs are a... [more] SP2013-85
pp.65-70
MVE, HI-SIG-VR 2011-10-14
13:25
Hokkaido   A 3D Reconstruction Method Using Tetrahedron Carving for AR Diorama System
Hiroyuki Yasuhara, Tomohiro Mashita, Kiyoshi Kiyokawa, Haruo Takemura (Osaka Univ.) MVE2011-48
Recently, augmented reality (AR) technologies, which overlay computer generated information onto the real world, have be... [more] MVE2011-48
pp.91-96
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-21
10:25
Shiga   Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features
Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Yukimasa Tamatsu (DENSO) PRMU2010-179 MVE2010-104
This paper proposes a method to quantify the visibility of pedestrians using in-vehicle camera. Since many driver assist... [more] PRMU2010-179 MVE2010-104
pp.253-258
ITE-AIT, IE, ITE-HI, ITE-ME, ITS 2010-02-15
13:50
Hokkaido Graduate School of Information and Technology, Hokkaido Univ. Automatic Detection of Human Beings in an Image by Using Feature Map
Hiroki Takiguchi, Junji Maeda (Muroran Inst. of Tech.) ITS2009-54 IE2009-148
The purpose of this paper is the automatic detection of human beings in a static image. We propose the method of human d... [more] ITS2009-54 IE2009-148
pp.101-106
ET 2009-12-11
10:05
Okinawa Univ. of the Ryukyus Construction of the penmanship learning support system -- Examination about the features extraction and mapping during model character and handwriting character --
Takuya Sawamoto, Noriaki Muranaka, Masataka Tokumaru (Kansai Univ.), Shigeru Imanishi (Kobe Inst. of Computing/Coll. of Information Tech.) ET2009-66
The purpose of this system is to reproduce the environment of the penmanship classroom in the home. Therefore, we sugges... [more] ET2009-66
pp.89-94
IE, ITS, ITE-HI, ITE-ME, ITE-AIT 2009-02-05
15:20
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ Automatic Detection of Perceptually Salient Objects or Human Beings in an Image
Mineki Takaya, Hiroki Takiguchi, Junji Maeda (Muroran Inst. of Tech.) ITS2008-75 IE2008-245
In the early process of the human vision,
it is known that people pay preferential attention to salient objects.
Man... [more]
ITS2008-75 IE2008-245
pp.233-238
SP, NLC 2008-12-10
16:10
Tokyo Waseda Univ. Articulatory feature extraction based on 3-stage MLNs and Inhibition/Enhancement Network
Mohammad Nurul Huda, Hiroaki Kawashima, Tsuneo Nitta (Toyohashi Univ. of Tech.) NLC2008-49 SP2008-104
This paper describes an articulatory feature extractor for accurate phoneme recognition. The proposed method comprises t... [more] NLC2008-49 SP2008-104
pp.149-154
NC 2008-07-15
13:10
Kyoto Kyoto Univ. (Yoshida campus) Possible inhibitory interaction between feature maps in visual search selection
Yuta Senzai, Tadashi Ogawa (Kyoto Univ.) NC2008-32
An object differing from its surrounding objects in basic feature dimensions is salient and automatically draws our atte... [more] NC2008-32
pp.1-6
ITE-HI, ITE-AIT, ITE-ME, IE, ITS 2008-02-19
11:15
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ Automatic Identification of Perceptually Salient Objects in an Image by Combining Visual Attention Models
Masaya Kato, Mineki Takaya, Junji Maeda (Muroran IT) ITS2007-68 IE2007-251
In the early process of the human vision, it is known that people pay preferential attention to salient objects that hav... [more] ITS2007-68 IE2007-251
pp.33-38
MI 2007-01-26
16:50
Overseas the Cheju National Univ. Automatic Extraction of Facial Feature points from Orthogonal Color Images for Surgical Planning
M. Shamsi (Univ. of Tehran/Univ. of the Ryukyus), R. A. Zoroofi, Caro Lucas, M. Sadeghi Hasanabadi (Univ. of Tehran), M. R. Asharif (Univ. of Ryukyus)
Recent advances in digital human technology combined with the broad availability of high performance computer graphics h... [more] MI2006-127
pp.165-168
PRMU, TL 2006-02-24
09:30
Ibaraki   Fast Learning Approach Using Self Organizing Map
Alaa Sagheer (Kyushu University), Naoyuki Tsuruta (Fukuoka University), Rin-Ichiro Taniguchi, Daisaku Arita (Kyushu University), Sakashi Maeda (Fukuoka University)
The authors previously presented a speech recognition system exploiting the normal Self Organizing Map (SOM) as a featur... [more] TL2005-71 PRMU2005-206
pp.25-30
PRMU, TL 2006-02-24
15:30
Ibaraki   The Stochastic Modeling of Pen-Coordinate Information by Structured Character Pattern Representation based HMM for On-line Japanese Handwriting Recognition
Junko Tokuno, Yang Yiping, Gleidson Pegoretti da Silva, Akihito Kitadai, Masaki Nakagawa (TUAT)
This paper describes stochastic modeling of pen-coordinate information in HMMs with structured character pattern represe... [more] TL2005-87 PRMU2005-222
pp.117-122
MI 2006-01-27
13:00
Okinawa Miyakojimashi-Chuo-Kouminkan Construction of Feature Map Model for Organs Considering Positions and Interdependency of Features
Hotaka Takizawa, Tsuyoshi Shiina (Univ. of Tsukuba), Shinji Yamamoto (Chukyo Univ.)
Feature values found in a local part of an organ depend on both their positions in an image and feature values in the ot... [more] MI2005-81
pp.61-64
 Results 1 - 18 of 18  /   
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