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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 35 of 35 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE, IPSJ-DBS, IPSJ-IFAT 2018-09-13
16:10
Tokyo   Estimation of Twitter Emotion Intensity by Using Transfer Learning of Feature Tensors and Emotion Lexicon
Shinnosuke Himeno, Masaki Aono (TUT) DE2018-11
 [more] DE2018-11
pp.13-18
PRMU, BioX 2018-03-19
15:40
Tokyo   3D Indoor Scene Classification using Images Reflecting the Depth Density of Voxel Group
Kazuma Hamada, Masaki Aono (Toyohashi Univ. of Tech.) BioX2017-68 PRMU2017-204
Along with the spread of VR technology, demand for applications using scenes composed of 3D data is increasing and the n... [more] BioX2017-68 PRMU2017-204
pp.189-194
PRMU 2017-10-12
10:00
Kumamoto   Online Human Action Detection using Deep Spatio-temporal Transformation
Yukihide Takagaki, Masaki Aono (TUT) PRMU2017-68
In this research, we describe online human action detection using Convolutional Neural Network which inputs skeleton dat... [more] PRMU2017-68
pp.31-35
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-16
09:45
Tokyo   Time Series Classification based on Image Encoding Considering Anisotropy
Shinya Iwamuro, Masaki Aono (TUT) PRMU2017-56 IBISML2017-28
 [more] PRMU2017-56 IBISML2017-28
pp.137-142
PRMU, BioX 2017-03-21
14:10
Aichi   Three-dimensional shape retrieval based in voxel representation using LSTM and CNN
Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] BioX2016-67 PRMU2016-230
pp.203-208
IE, ITE-ME, ITE-AIT [detail] 2016-10-06
11:30
Fukuoka   A Method for Predicting Image Region Specified by Query Texts
Kou Endo (TUT), Kotarou Funakoshi, Eric Nichols (HRI-J), Masaki Aono (TUT) IE2016-66
We propose a method to identify the area in the image that corresponds to a user's text query. The input to the system i... [more] IE2016-66
pp.7-12
PRMU, BioX 2016-03-24
09:30
Tokyo   Saliency Feature Representations for Image Captioning
Kazuki Yoshii (TUT), Eric Nichols, Kotaro Funakoshi, Mikio Nakano (HRI-JP), Masaki Aono (TUT) BioX2015-41 PRMU2015-164
In recent years, due to advances in neural models for representing images and language, multimodal tasks like image capt... [more] BioX2015-41 PRMU2015-164
pp.1-6
IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] 2014-08-01
14:15
Chiba   Ontology based Supervised Learning for Image Annotation
Ismat Ara Reshma, Md Zia Ullah, Masaki Aono (TUT) IE2014-29
 [more] IE2014-29
pp.41-46
IN, IA
(Joint)
2012-12-13
15:20
Hiroshima Hiroshima City Univ. An access control for personal and group information based on user context
Jin Ito, Hideyuki Kobayashi, Keishi Okamoto (SNCT), Masaki Aono (TUT), Kaoru Takahashi (SNCT) IA2012-60
This paper presents an access control for personal and group information based on ontology and user context.
First, an ... [more]
IA2012-60
pp.7-12
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2011-02-22
11:25
Hokkaido Hokkaido University Segmentation of 3D-model focused on a protruded shape
Shiro Wakida, Masaki Aono (Toyohashi Univ. of Tech.)
3D shape models have been used in many fields. Segmentation of 3D model is a technology that allows us to split the mode... [more]
NC, MBE
(Joint)
2009-03-13
10:10
Tokyo Tamagawa Univ. EEG classification method by adaptive downsampling with training data -- Experiment with P300 Speller task --
Yuya Sakamoto, Masaki Aono (Toyohashi Univ. of Tech.) NC2008-165
To achieve Brain Computer Interface, recording Electroencephalogram (EEG) and classifying whether P300 is evoked by pres... [more] NC2008-165
pp.365-370
NLC 2008-02-07
14:00
Niigata Yuzawa Culture Center Opinion Holder Identification -- Challenge at the NTCIR Opinion Analysis Task --
Yohei Seki (Toyohashi Univ. of Tech.), David Kirk Evans, Noriko Kando (NII), Masaki Aono (Toyohashi Univ. of Tech.) NLC2007-89
Opinion holder identification research is important for discriminating between opinions that are viewed from different p... [more] NLC2007-89
pp.13-18
PRMU, NLC 2005-09-21
10:00
Tokyo   Automatic Annotation and its Features of Japanese and English Sentence Types
Yohei Seki (Toyohashi Univ. of Tech.), Noriko Kando (NII), Masaki Aono (Toyohashi Univ. of Tech.)
The purpose of thie study it to testing for using contextual
information as a subjective feature, which is not focused ... [more]
NLC2005-28 PRMU2005-55
pp.23-28
DE 2005-07-13
14:00
Aomori OIRASE *
Masaki Aono (Toyohashi Univ. of Tech.)
 [more] DE2005-30
pp.1-6
DE 2005-07-14
08:50
Aomori OIRASE *
, Masaki Aono (Toyohashi Univ. of Tech.)
 [more] DE2005-66
pp.7-11
 Results 21 - 35 of 35 [Previous]  /   
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