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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 50 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2019-11-15
11:10
Hyogo Kobe Univ. Mental Disorder Diagnosis Based on fMRI Images by Deep Generative Model Using Attribute
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-33
 [more] CCS2019-33
pp.41-44
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:00
Okinawa Okinawa Institute of Science and Technology Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-1
Following the development of black-box machine learning algorithms, the practical demand of the re- liability assessment... [more] IBISML2019-1
pp.1-8
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:25
Okinawa Okinawa Institute of Science and Technology Adversarial Day-to-Night Conversion Supporting Object Detection for Autonomous Driving
Kazuki Fujioka (Kobe Univ.), Takashi Machida (Toyota CRDL), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-2
 [more] IBISML2019-2
pp.9-14
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:50
Okinawa Okinawa Institute of Science and Technology Aleatoric Uncertainty-Aware Score for Deep Unsupervised Anomaly Segmentation
Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-3
 [more] IBISML2019-3
pp.15-20
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
17:35
Okinawa Okinawa Institute of Science and Technology Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) NC2019-12
Machine learning-based accurate diagnosis of mental disorders is expected to support finding their biomarkers and unders... [more] NC2019-12
pp.45-50
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
13:30
Okinawa Okinawa Institute of Science and Technology Hybrid Reinforcement and Imitation Learning for Human-Like Agents
Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni) NC2019-16 IBISML2019-14
Reinforcement learning methods achieve performance superior to humans in a wide range of complex tasks and uncertain env... [more] NC2019-16 IBISML2019-14
pp.69-74(NC), pp.91-96(IBISML)
CCS 2018-11-23
10:50
Hyogo Kobe Univ. A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning
Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] CCS2018-41
pp.45-50
CCS 2018-11-23
14:55
Hyogo Kobe Univ. Hypernetwork-based Implicit Posterior Estimation of CNN
Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] CCS2018-45
pp.67-72
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
09:40
Fukuoka   Image Patchwork Data Augmentation
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) PRMU2018-43 IBISML2018-20
Deep convolutional neural networks (CNNs) have demonstrated remarkable results thanks to their numerous parameters.
How... [more]
PRMU2018-43 IBISML2018-20
pp.47-54
IN, CCS
(Joint)
2018-08-02
13:50
Hokkaido Kitayuzawa Mori-no-Soraniwa Deep Generative Model Structured for Feature Extraction of fMRI Images
Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kove Univ.) CCS2018-32
 [more] CCS2018-32
pp.29-32
EA, ASJ-H, ASJ-AA 2018-07-24
13:00
Hokkaido Hokkaido Univ. [Poster Presentation] Denoising Method for Underwater Acoustic Signals by Using Hough Transform
Yoshihiro Taira, Takashi Matsubara, Keisuke Iwai, Takakazu Kurokawa (NDA) EA2018-11
Underwater acoustic signals are used in various fields such as marine environmental measurement, exploration of sea bott... [more] EA2018-11
pp.59-64
AP 2017-08-24
10:00
Hokkaido National Institute of Technology, Hakodate College DOA Estimation for Coprime Arrays Without Knowledge of Source Number
Anh-Tuan Nguyen, Takashi Matsubara, Takakazu Kurokawa (NDA) AP2017-69
Pal et al. use a coprime array to extend it to a larger virtual ULA, and after spatial smoothing technique is implemente... [more] AP2017-69
pp.7-12
AP 2016-12-08
13:25
Tokyo Kikai-Shinko-Kaikan Bldg. High Performance DOA Estimation Method for Copime Arrays and Nested Arrays
Anh-Tuan Nguyen, Takashi Matsubara, Takakazu Kurokawa (NDA) AP2016-126
In this paper, we consider a coprime array or nested array. Pal et al. have proposed a method to extend these arrays to ... [more] AP2016-126
pp.17-22
CCS 2016-11-04
11:15
Kyoto Kyoto Sangyo Univ. (Musubiwaza Bldg.) Unsupervised Learning with Spike-Timing Dependent Delay Learning Model
Takashi Matsubara (Kobe Univ.) CCS2016-32
Precious timing of neuronal spikes is considered to play an important role in signal transmission and processing in cent... [more] CCS2016-32
pp.13-16
IN, ICTSSL, NWS
(Joint)
2016-10-20
11:25
Osaka Osaka Uinv. Reasoning daily activities of single life using environment sensing and indoor location
Long Niu, Seiji Sakakibara, Seiki Tokunaga, Sachio Saiki, Takashi Matsubara, Masahide Nakamura, Kuniaki Uehara (Kobe Univ.) IN2016-49
 [more] IN2016-49
pp.7-8
ISEC 2016-09-02
14:50
Tokyo Kikai-Shinko-Kaikan Bldg. Implementation of security evaluation function on a Development Environment of Cryptography using GUI
Toshihiro Nakamura, Keisuke Iwai, Takashi Matsubara, Takakazu Kurokawa (NDA) ISEC2016-46
Security evaluation on cryptography and cryptography development
are two sides of the same coin.
Security evaluation... [more]
ISEC2016-46
pp.49-56
AP, SAT, SANE
(Joint)
2016-07-20
14:55
Hokkaido Otaru port marina High Performance DOA Estimation Method with Coprime Array using Toeplitz Matrix
Anh-Tuan Nguyen, Takashi Matsubara, Takakazu Kurokawa (NDA) AP2016-39
MUSIC and ESPRIT are high accuracy direction of arrival(DOA) estimation methods using uniform linear array antenna(ULA).... [more] AP2016-39
pp.13-18
AP, SAT, SANE
(Joint)
2016-07-20
16:20
Hokkaido Otaru port marina Improvement of RV-MUSIC using Unitary Transformation and Orthogonal Complement
Koji Sonoyama, Takashi Matsubara, Takakazu Kurokawa (NDA) AP2016-42
Direction-of-arrival (DOA) estimation with an array antenna includes MUSIC and ESPRIT. MUSIC needs big computational com... [more] AP2016-42
pp.31-36
AP 2015-12-10
09:15
Tokyo Kikai-Shinko-Kaikan Bldg. DOA Estimating Method via Toeplitz Matrices without Information of Source Number
Anh-Tuan Nguyen, Koji Sonoyama, Takashi Matsubara, Takakazu Kurokawa (NDA) AP2015-154
MUSIC and ESPRIT are high accuracy methods for estimating the direction of arrival of signals using array antenna. These... [more] AP2015-154
pp.1-6
NLP 2014-12-03
16:50
Tokyo Kyoto Univ. Tokyo Office The STDP with subthreshold fluctuation agrees with various features of biological neural network
Takashi Matsubara (Osaka Univ.), Hiroyuki Torikai (Kyoto Sangyo Univ.) NLP2014-107
 [more] NLP2014-107
pp.47-49
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