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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC | 2021-09-16 09:10 |
Online | Online | An Attempt to Extraction of Cause-Effect Expressions by Sequence-Labeling Hiroki Sakaji, Kiyoshi Izumi (The Univ. of Tokyo), Atsuo Kato (DIR), Shintaro Nagao (DAM)  NLC2021-6 |
In this research, we propose a method for extracting cause-effect expressions using the general language model and clue ... [more] | NLC2021-6 pp.1-4 |
| NLC | 2020-09-10 15:25 |
Online | Online | Unsupervised Domain Adaptation for Dialogue Sequence Labeling
-- Application to Contact Center Tasks -- Shota Orihashi, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura (NTT) NLC2020-8 |
This paper presents an unsupervised domain adaptation for utterance-level sequence labeling of conversation in a contact... [more] | NLC2020-8 pp.34-39 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 17:25 |
Okinawa | Okinawa Institute of Science and Technology | Predicting Demographic Attributes for Individual Viewing Behavior Yusuke Kumagae, Ryoma Yasunaga, Ryo Fujii, Ryo Domoto (Hakuhodo) IBISML2019-10 |
User attribute estimation based on behaviors is an important task in marketing. Previous works have tried to estimate at... [more] | IBISML2019-10 pp.65-71 |
| PRMU, BioX | 2017-03-20 16:10 |
Aichi | Report of the 20th PRMU Algorithm Contest
-- Track Pedestrians across Multiple Cameras! -- Yasutomo Kawanishi, Takashi Maeda (Nagoya Univ.), Tsukasa Mori (Mie Univ.), Yuki Kodama (Nagoya Univ.), Daisuke Satoh (Tohoku Univ.), Takuro Ina (Kyoto Univ.), Shohei Kumagai (Meijo Univ.) BioX2016-45 PRMU2016-208 |
This paper reports a summary of the 20th algorithm contest organized by PRMU (Pattern Recognition and Media Understandin... [more] | BioX2016-45 PRMU2016-208 pp.67-79 |
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| IBISML | 2014-03-07 09:40 |
Nara | Nara Women's University | A Label Completion Approach to Crowd Approximation Toshihiro Watanabe, Hisashi Kashima (Univ. of Tokyo) IBISML2013-73 |
Majority vote is one of the most common methods for crowdsourced label aggregation to get higher-quality labels, but it ... [more] | IBISML2013-73 pp.47-53 |
| PRMU | 2012-10-04 09:00 |
Chiba | Efficient Labeling Method Using Clustering For Image Recognition Ryo Shirasu, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2012-51 |
Recent years, with the rapid popularization of digital cameras, the amount of photo data that individuals can keep has g... [more] | PRMU2012-51 pp.1-6 |
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| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Multilayer Sequence Labeling Ai Azuma, Yuji Matsumoto (NAIST) IBISML2010-75 |
Sequence labeling has wide application areas such as natural language processing. In real world tasks, we often need to ... [more] | IBISML2010-75 pp.119-126 |
| RECONF | 2009-09-17 13:25 |
Tochigi | Utsunomiya Univ. | Component Labeling on the FPGA using Few Logic Elements Yasuaki Ito, Koji Nakano (Hiroshima Univ.) RECONF2009-20 |
In this paper, we present a hardware connected component labeling algorithm which is a task that assigns unique IDs to ... [more] |
RECONF2009-20 pp.7-12 |
| COMP | 2007-12-14 10:30 |
Hiroshima | Hiroshima University | Component Labeling for k-Concave Binary Images Using an FPGA Yasuaki Ito, Koji Nakano (Hiroshima Univ.) COMP2007-48 |
Connected component labeling is a task that assigns unique IDs to the connected components of a binary (black and whit... [more] |
COMP2007-48 pp.1-8 |
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