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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IPSJ-SLDM, RECONF, VLD [detail] 2023-01-24
11:45
Kanagawa Raiosha, Hiyoshi Campus, Keio University
(Primary: On-site, Secondary: Online)
Efficient FPGA Implementation of Binarized Neural Networks Based on Generalized Parallel Counter Tree
Takahiro Tanigawa, Mugi Noda, Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2022-68 RECONF2022-91
Binarized neural networks (BNN) allow compact hardware implementation by binarizing weight values and neuron activations... [more] VLD2022-68 RECONF2022-91
pp.50-55
VLD, HWS [detail] 2022-03-07
15:30
Online Online High-throughput In-Memory Accelerator for Binarized Neural Network based on 8T-SRAM
Hiroto Tagata, Hiromitsu Awano (Kyoto Univ.) VLD2021-88 HWS2021-65
An in-memory accelerator for binary deep neural networks is presented.
The proposed circuit doubled the execution spee... [more]
VLD2021-88 HWS2021-65
pp.63-68
PRMU, CNR 2019-03-01
13:30
Tokushima   Recognition of Color Characters in Scene Images via Optimal Binarization and Distortion-tolerant Image Matching
Masato Suzuki, Toru Wakahara (Hosei Univ.) PRMU2018-130 CNR2018-53
This paper proposes an efficient combination of optimal binarization and distortion-tolerant image matching for color ch... [more] PRMU2018-130 CNR2018-53
pp.89-94
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2017-07-27
15:45
Akita Akita Atorion-Building (Akita) Consideration of All Binarized Convolutional Neural Network
Masayuki Shimoda, Tomoya Fujii, Haruyoshi Yonekawa, Shimpei Sato, Hiroki Nakahara (Tokyo Inst. of Tech.) CPSY2017-28
A pre-trained convolutional neural network (CNN) is a feed-forward computation perspective, which is widely used for the... [more] CPSY2017-28
pp.131-136
PRMU, CNR 2014-02-13
16:10
Fukuoka   [Poster Presentation] Character Region Extraction by Exploiting Auxiliary Lines
Shiori Kawamura, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2013-152 CNR2013-60
Recently, the demand for character recognition in scene images is growing. However, complex background, non-uniform illu... [more] PRMU2013-152 CNR2013-60
pp.119-120
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2013-02-18
15:00
Hokkaido Hokkaido Univ. Character Extraction from Color Document Images with Complex Background
Hiroyuki Tokuchi, Yousuke Iwami, Junji Maeda (Muroran Inst. of Tech.) ITS2012-30 IE2012-110
The purpose of this research is to extract the characters from color document images with complex background such as jou... [more] ITS2012-30 IE2012-110
pp.65-70
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
15:15
Kyoto   Binarization and Recognition of Color Characters in Scene Images Using K-means Clustering via Automatic Selection of the Number of Clusters and Support Vector Machines
Kotaro Endo, Toru Wakahara (Hosei Univ.) PRMU2012-121 MVE2012-86
This paper proposes a new method for binalizing color characters in scene images using K-means clustering and support ve... [more] PRMU2012-121 MVE2012-86
pp.323-328
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2012-02-21
14:00
Hokkaido Hokkaido Univ. Character Extraction from Color Document Images with Complex Background
Yuichiro Sakamoto, Hiroyuki Tokuchi, Junji Maeda (Muroran IT) ITS2011-53 IE2011-129
The purpose of this research is to extract the characters from color document images with complex background such as jou... [more] ITS2011-53 IE2011-129
pp.307-312
PRMU 2011-11-24
15:00
Nagasaki   Scene character recognition
Shinpei Oba, Yaokai Feng, Seiichi Uchida (Kyushu Univ) PRMU2011-107
(To be available after the conference date) [more] PRMU2011-107
pp.45-50
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2011-02-22
11:50
Hokkaido Hokkaido University Character Extraction from Color Document Images with Complex Background
Kouta Fujisaki, Yuuichirou Sakamoto, Junji Maeda (Muroran IT)
The purpose of this research is to extract the characters from color document images with complex background such as jou... [more]
PRMU, FM 2010-12-10
15:50
Yamaguchi   Binarization of Color Character Strings in Scene Images Using K-means Clustering and Support Vector Machines
Kohei Kita, Toru Wakahara (Hosei Univ.) PRMU2010-147
This paper proposes a new technique for binalizing color character strings in scene images. The key ideas are as follows... [more] PRMU2010-147
pp.113-118
PRMU, HIP 2010-06-25
10:40
Aomori   Automatic facial features extraction for face recognition -- Edge detection applied to anatomical region recognition --
Kousuke Abe, Yoshihiko Hayakawa (Kitami Inst. of Tech.) PRMU2010-49 HIP2010-38
It is necessary to extract structural features of facial organs for the face recognition, and the accuracy in the extrac... [more] PRMU2010-49 HIP2010-38
pp.65-68
PRMU 2007-10-26
11:00
Miyagi Hotel Matsushima Daikansou A Study on Optimal Binarization and Distortion-Tolerant Recognition of Color Characters in Scene Images
Minoru Yokobayashi, Toru Wakahara (Hosei Univ.) PRMU2007-110
The proposed method of optimal binarization of color characters in scene images is based on selection of one optimal pro... [more] PRMU2007-110
pp.105-110
NLP 2006-07-03
13:20
Ishikawa Kanazawa Univ. A Spatial Domain Sigma-Delta Modulator Using Discrete Time Cellular Neural Networks
Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Mamoru Tanaka (Sophia Univ.)
In this paper, a novel spatial domain sigma-delta modulator using discrete-time cellular neural networks (DT-CNNs) is pr... [more] NLP2006-24
pp.13-18
 Results 1 - 14 of 14  /   
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