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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 29 of 29 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2018-03-19
16:05
Tokyo   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]

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   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]
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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