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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE | 2019-12-06 16:05 |
Aichi | Toyohashi Tech | Neural Networks for Constructing Logical Operations Yuma Saito, Masafumi Hagiwara (Keio Univ.)  MBE2019-57 NC2019-48 |
In this research, we aim to integrate both conventional statistical processing and exact logic processing into the same ... [more] | MBE2019-57 NC2019-48 pp.73-78 |
| NC, MBE | 2019-12-06 16:30 |
Aichi | Toyohashi Tech | Explaining Neural Networks by using a multiple tree Shunya Sasaki, Masafumi Hagiwara (Keio Univ) MBE2019-58 NC2019-49 |
The existing Neural Networks (NNs) have a problem that it is difficult to explain the reasoning process and the grounds ... [more] | MBE2019-58 NC2019-49 pp.79-84 |
| NC, MBE (Joint) |
2019-03-05 09:30 |
Tokyo | University of Electro Communications | Novel Backpropagation Algorithm Considering Energy Rintaro Kanada, Masafumi Hagiwara (Keio Univ.) NC2018-63 |
In this paper, we propose a novel backpropagation(BP) algorithm considering energy. Neural network (NN) can be classifie... [more] | NC2018-63 pp.105-110 |
| NC, MBE (Joint) |
2019-03-05 09:55 |
Tokyo | University of Electro Communications | Neuron-Pruning Algorithm For Neural Network Considering Activation Values Masahiro Yamada, Masafumi Hagiwara (Keio Univ.) NC2018-64 |
In this paper, we propose a neuron-pruning algorithm using activation value. As the index for pruning neurons, two type... [more] |
NC2018-64 pp.111-116 |
| MBE, NC (Joint) |
2018-03-14 15:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Generating Image Captions with Sentiment Words Utilizing Image Features and Distributed Representations of Words Taro Seguchi, Masafumi Hagiwara (Keio Univ.) NC2017-96 |
[more] | NC2017-96 pp.169-174 |
| MBE, NC (Joint) |
2018-03-14 15:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Gradually Stacking Neural Network Shunya Sasaki, Masafumi Hagiwara (Keio Univ) NC2017-97 |
In this paper, we propose a neural network with multiple layers in a stepwise manner. Neural networks (NNs) become more ... [more] | NC2017-97 pp.175-180 |
| MBE, NC, NLP (Joint) |
2018-01-27 13:10 |
Fukuoka | Kyushu Institute of Technology | Image Style Transfer Using Style Extraction Network Shoya Tanaka, Masafumi Hagiwara (Keio Univ.) NC2017-62 |
In this paper, we propose style transfer using style extraction network. Recently, research on style transfer that rende... [more] | NC2017-62 pp.71-76 |
| MBE, NC (Joint) |
2017-11-24 13:25 |
Miyagi | Tohoku University | Phased Learning for Distributed Word Representations Considering Synonym Chiaki Yonekura, Masafumi Hagiwara (Keio Univ.) NC2017-28 |
In natural language processing, distributed word representation is one of the representation methods for treating words ... [more] | NC2017-28 pp.7-12 |
| MBE, NC (Joint) |
2017-11-24 13:50 |
Miyagi | Tohoku University | Analyses of Neural Language Model and Its Application to Transformation of Individuality in Speech Tatsuya Takeuchi, Masafumi Hagiwara (Keio Univ.) NC2017-29 |
In this research, we aim to convert the output indirectly by changing the internal state of the neural language model us... [more] | NC2017-29 pp.13-18 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 15:50 |
Tokyo | Face Image Generation System Using Attribute information with DCGANs Yurika Sagawa, Masafumi Hagiwara (Keio Univ.) PRMU2017-52 IBISML2017-24 |
In this paper, we propose an attribute added face image generation system using Deep Convolutional Generative Adversaria... [more] | PRMU2017-52 IBISML2017-24 pp.107-112 |
|
| MBE, NC (Joint) |
2017-05-26 13:25 |
Toyama | Toyama Prefectural Univ. | Analog Associative Memory Using Restricted Boltzmann Machine Yuichiro Tsutsui, Masafumi Hagiwara (Keio Univ.) NC2017-2 |
[more] | NC2017-2 pp.7-12 |
| MBE, NC (Joint) |
2017-03-13 14:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Knowledge Processing Using RBM Associative Memory with Distributed Representation Takeyuki Shiina, Masafumi Hagiwara (Keio Univ.) NC2016-84 |
[more] | NC2016-84 pp.121-126 |
| MBE, NC (Joint) |
2016-03-22 11:25 |
Tokyo | Tamagawa University | Construction of Semantic Network Using Restricted Boltzmann Machine Yuichiro Tsutsui, Masafumi Hagiwara (Keio Univ.) NC2015-71 |
In this paper, we propose a new kind of neural network type semantic network utilizing distributed representation. The p... [more] | NC2015-71 pp.13-18 |
| NC, MBE | 2015-03-16 15:10 |
Tokyo | Tamagawa University | A Proposal of Novel Data Detection Method and Its Application to Incremental Learning for RBMs Masahiko Osawa, Masafumi Hagiwara (Keio Univ.) MBE2014-167 NC2014-118 |
Incremental learnings without destruction of the existing memory are often difficult for deep learning, since most of th... [more] | MBE2014-167 NC2014-118 pp.283-288 |
| CNR | 2014-12-04 14:00 |
Tokyo | Vision based sensing and recognition towards human-machine collaborations Hideo Saito, Masafumi Hagiwara, Yoshimitsu Aoki, Maki Sugimoto (Keio Univ.) CNR2014-23 |
(To be available after the conference date) [more] | CNR2014-23 pp.39-40 |
|
| MBE, NC (Joint) |
2014-10-18 14:50 |
Osaka | Osaka Electro-Communication University | Analysis of Learning Characteristics of RBM and Automatic Method for Deciding the Number of Hidden Neurons Masahiko Osawa, Masafumi Hagiwara (Keio Univ.) NC2014-22 |
In this paper，we analyze the learning characteristics of Restricted Boltzmann Machine (RBM) by computer simulation． Then... [more] | NC2014-22 pp.7-12 |
| NC, MBE (Joint) |
2014-03-18 15:40 |
Tokyo | Tamagawa University | A Time-series Processing Neural Network for Natural Language Yukinori Homma, Masafumi Hagiwara (Keio Univ.) NC2013-114 |
This paper proposes a novel time-series processing neural network to treat natural language.The proposed network is comp... [more] | NC2013-114 pp.151-156 |
| MBE, NC (Joint) |
2013-03-13 16:00 |
Tokyo | Tamagawa University | Deep case estimation system using Log-Linear models and multi features Hiroaki Kajima, Masafumi Hagiwara (Keio Univ.) NC2012-151 |
[more] | NC2012-151 pp.101-106 |
| MBE, NC (Joint) |
2012-03-14 15:25 |
Tokyo | Tamagawa University | Natural Language Neural Network and its Application to Question-Answering System Tsukasa Sagara, Masafumi Hagiwara (Keio Univ.) NC2011-139 |
This paper proposes a novel neural network to treat natural language. The proposed neural network is composed of 3 layer... [more] | NC2011-139 pp.105-110 |
| MBE, NC (Joint) |
2012-03-14 16:50 |
Tokyo | Tamagawa University | Bayesian Network Associative Memories Hiroaki Hasegawa, Masafumi Hagiwara (Keio Univ.) NC2011-146 |
In this paper, we propose Bayesian Network Associative Memories (BNAMs) for modeling associative memories with Bayesian ... [more] | NC2011-146 pp.147-152 |
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