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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, BioX |
2018-03-19 16:05 |
Tokyo |
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Pedestrian group attribute estimation using Long short-term memory Makoto Shinzaki, Ryuji Yamazaki (Panasonic) BioX2017-69 PRMU2017-205 |
(To be available after the conference date) [more] |
BioX2017-69 PRMU2017-205 pp.195-200 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-15 11:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Recurrent Neural Network-based Tactics Estimation in Soccer Videos Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates team tactics in soccer videos by a recurrent neural network.
In general, pl... [more] |
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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 |
SIP |
2017-08-24 15:05 |
Tokyo |
Tokyo Denki University |
Anomaly Detection from Subsampled Audio Signal for Machine Diagnosis Yohei Kawaguchi, Takashi Endo (Hitachi) SIP2017-54 |
Low-cost sound monitoring is required for maintaining machinery. We aim to reduce the cost of monitoring by reducing the... [more] |
SIP2017-54 pp.33-38 |
PRMU |
2016-12-16 13:45 |
Tottori |
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Eating and Drinking Recognition Considering Time Sequence from Head Directions and Joints Position in a Group Naoto Ienaga, Yuko Ozasa, Hideo Saito (Keio Univ.) PRMU2016-123 |
In this paper, we present a method to recognize eating and drinking in a group. Movements of head is small when we eat a... [more] |
PRMU2016-123 pp.53-58 |
SP |
2016-08-24 13:25 |
Kyoto |
ACCMS, Kyoto Univ. |
Daily Activity Recognition Based on Recurrent Neural Network Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2016-28 |
Our goal is to build an automatic surveillance system for elderly people and the core technique is daily activity recogn... [more] |
SP2016-28 pp.7-12 |
HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama |
Toyama International Conference Center |
Visualization of short-term and long-term memories by Brain Functional Connectivity Network Akiyoshi Akiyama, Toshimasa Yamazaki (KIT), Takahiko Yamamoto, Eiko Soejima (FJH) |
Brain Functional Connectivity Network (BFCN) is a visualization of connectivities between brain regions related to human... [more] |
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NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-03 16:15 |
Aichi |
Nagoya Inst of Tech. |
[Invited Lecture]
EMNLP 2015 Report (3)
-- Recent Trends of Morphological Analysis -- Hajime Morita (Kyoto Univ.) NLC2015-40 |
This report introduces recent trends of morphological analysis and word segmentation in Conference on Empirical Methods ... [more] |
NLC2015-40 p.43 |
NC, MBE (Joint) |
2008-03-12 10:20 |
Tokyo |
Tamagawa Univ |
Generation of long-term memory based on multilayer chaotic neural network capable of sequential learning Shingo Emoto, Hajime Asama, Mihoko Otake (Univ. of Tokyo) NC2007-113 |
The human memory has various aspects i.e., meta memory, short-term and long-term memory, semantic and episodic memory. N... [more] |
NC2007-113 pp.7-12 |
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