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 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC, CPSY, IPSJ-ARC [detail] 2021-10-12
Online Online An Update Method of Word Embedding using Online Sequential Learning
Hibiki Ito, Hiroki Matsutani (Keio Univ.) CPSY2021-17 DC2021-17
(To be available after the conference date) [more] CPSY2021-17 DC2021-17
NS 2021-05-13
Online Online A Study on Privacy Concerns by Single-Word Search Query Leakage from Web Browsers through Domain Name System
Katsuki Isobe, Daishi Kondo, Hideki Tode (OPU) NS2021-18
Some web browsers used in some specific computers have a specification that a single-word search query (a word that cont... [more] NS2021-18
PRMU 2020-09-02
Online Online PRMU2020-9 Our daily life is surrounded by textual information. Nowadays, the automatic collection of textual information becomes p... [more] PRMU2020-9
IBISML 2020-03-11
Kyoto Kyoto University
(Cancelled but technical report was issued)
Sentence Visualization Based on Relative Sentence Embeddings
Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) IBISML2019-42
Sentence visualization is important for a organization, such as company or government, since it facilitates to understan... [more] IBISML2019-42
HCS 2019-10-26
Tokyo Nihon Univ. Predicting Personality based on Ad-Request Logs
Akihiro Kobayashi, Yuichi Ishikawa (KDDI Research Inc.), Shigeru Kuroyanagi (Supership), Atsunori Minamikawa (KDDI Research Inc.) HCS2019-40
Recently role of customers’ personality traits is one of the main topics in advertising technologies. Predicting persona... [more] HCS2019-40
NLC, IPSJ-DC 2019-09-28
Tokyo Future Corporation On evaluation of word-embedding models for technical term in space systems
Naoko Okubo, Sho Kurahayashi, Kenji Mori, Kohsuke Namihira, Yasushi Ueda, Masafumi Katahira (JAXA), Toshiyuki Amagasa (Unv. Tsukuba) NLC2019-28
In this paper, we report the examination result of the method to evaluate the quality of the word-em-bedding models with... [more] NLC2019-28
DE 2019-06-22
Tokyo   Efficient Similar Document Search over Encrypted Data On the Cloud
Daisuke Aritomo (Univ. of Tsukuba), Chiemi Watanabe (NTUT) DE2019-7
More and more data owners are building information retrieval systems on cloud computing platforms, which provides scalab... [more] DE2019-7
SC 2019-06-01
Ibaraki National Institute for Materials Science Jointly Embedding Knowledge Graph and Feature in Vector Space
Tomu Kadoki, Runhe Huang, Satoru Fujita (Hosei Univ.) SC2019-10
Knowledge Graph, utilized in search engine, can be embed in a low dimensional vector space with knowledge graph embeddin... [more] SC2019-10
Tokyo University of Electro Communications Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution
Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.) NC2018-54
Recently, analysing the relation between human and compnies based those related documents such as tweets and web pages.
... [more]
DE, IPSJ-DBS 2018-12-22
Tokyo National Institute of Informatics An Automatic Synchronization Method of Lyrics and Pictures using Word Embedding and Generic Object Recognition
Syo Yamaguchi, Daisuke Kitayama (Kogakuin Univ.) DE2018-25
Generating and sharing video content has become popular. Some video contents are the slideshow that combines pictures an... [more] DE2018-25
(Joint) [detail]
Tokyo Waseda Univ. Nishiwaseda Campus Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length
Ryo Tanoue, Hiroshi Echizen'ya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-30
In this paper, we propose new method to automatically extract bilingual sentences from comparable corpus without high qu... [more] NLC2018-30
IBISML 2018-11-05
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Transfer Learning Among Time Series Data
Hao Niu, Kei Yonekawa, Mori Kurokawa, Arei Kobayashi (KDDI Research) IBISML2018-101
Time series data are widely used in various fields, and the machine learning on the time series data attracts much resea... [more] IBISML2018-101
NLC, IPSJ-ICS 2018-07-06
Hokkaido Hokkaido University Automatic Evaluation Method for Machine Translation based on Cross-Lingual Similarity using Word Embeddings without Reference Translation
Hiroki Fujikawa (Hokkaido Univ.), Hiroshi Echizenya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-5
We propose a new method for automatic evaluation method for machine translation without reference. Automatic evaluation ... [more] NLC2018-5
DE, CEA, IPSJ-DBS 2017-12-23
Tokyo National Institute of Informatics Detection of mergeable Wikipedia articles based on multiple embedding results
Renzhi Wang, Mizuho Iwaihara (Waseda U.) DE2017-35
Wikipedia is the largest online encyclopedia, in which articles are edited by different volunteers with different though... [more] DE2017-35
WIT, SP 2017-10-19
Fukuoka Tobata Library of Kyutech (Kitakyushu) User adaptation of examples for example-based reminiscence therapy spoken dialog system using word embedding
Eichi Seto, Ryota Nishimura, Norihide Kitaoka (Tokushima Univ.) SP2017-38 WIT2017-34
We are developing a spoken dialog system for reminiscence therapy. We propose an example-based dialog system featuring a... [more] SP2017-38 WIT2017-34
SC 2017-06-03
Fukushima University of Aizu(UBIC 3D) Service Discovery on Service Network Constructed by Word Embedding
Takeyuki Miyagi, Incheon Paik (Univ. of Aizu) SC2017-9
Service discovery and composition are a challenging issue for service computing when providing value-added services. Exi... [more] SC2017-9
SP, SIP, EA 2017-03-01
Okinawa Okinawa Industry Support Center [Poster Presentation] Prosodic Word Embeddings for DNN-based speech synthesis
Yusuke Ijima, Nobukatsu Hojo, Ryo Masumura, Taichi Asami (NTT) EA2016-109 SIP2016-164 SP2016-104
This paper proposed a novel word embeddings with prosodic information (prosodic word embeddings) for DNN-based speech sy... [more] EA2016-109 SIP2016-164 SP2016-104
IT 2009-07-23
Osaka Kwansei Gakuin Univ. (Umeda campus) Performance Evaluation and Analysis on Digital Watermark for Still Images with JPEG Compression Attack
Tetsushi Masuno, Takuya Kusaka (Okayama Univ.), Toru Fujiwara (Osaka Univ.) IT2009-14
Digital watermark is a useful technology for copyright protection.
A number of studies on embedding watermark into spat... [more]
 Results 1 - 18 of 18  /   
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