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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 76  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS, IPSJ-AVM 2022-06-09
13:00
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
Hardware Implementation of Annealing Machine using Chaotic Boltzmann Machine
Kanta Yoshioka (Kyutech), Ichiro Kawashima, Hakaru Tamukoh (Kyutech/Neumorph Center)
(To be available after the conference date) [more]
SIS, IPSJ-AVM 2022-06-10
11:40
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
An embedded-oriented sound classification system using reservoir computing
Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech)
 [more]
SIS, IPSJ-AVM 2022-06-10
13:00
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] How to build a High-Precision and Efficient Robot Vision: Dataset Generation and Hardware Implementation for Deep Learning
Hakaru Tamukoh (Kyutech)
(To be available after the conference date) [more]
SIS 2021-12-03
11:20
Online Online Open Set Recognition Focusing on Multidimensional Feature Space
Daiju Kanaoka (Kyutech), Yuichiro Tanaka, Hakaru Tamukoh (Kyutech/Kyushu Institute of Technology/Research Center for Neuro) SIS2021-23
In general, image recognition assumes that all classes used in testing are known. Therefore, when an unknown class is in... [more] SIS2021-23
pp.11-14
SIS, ITE-BCT 2021-10-08
11:10
Online Online A Hardware-Oriented Algorithm for Person Recognition Processing using GMM-MRCoHOG features
Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (AISIN), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2021-19
In this research, we focus on Gaussian Mixture Model-MultiResolution Co-occurrence Histograms of Oriented Gradients (GMM... [more] SIS2021-19
pp.48-53
SIS 2021-03-04
14:10
Online Online Hardware Implementation of Object Recognition Neural Network using Depth Images
Yuma Yoshimoto (Kyutech/JSPS Research Fellow), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) SIS2020-47
In this study, we propose an object recognition neural network using depth images, implemented on an FPGA for service ro... [more] SIS2020-47
pp.67-70
SIS 2020-12-01
15:15
Online Online A Proposal of Convolutional Neural Networks detecting and removing noise for Random-Valued Impulse Noise Denoising
Yukiya Fukuda (Kytutech), Ryosuke Kubota (NITUC), Hakaru Tamukoh (Kyutech) SIS2020-34
When digital images are transmitted, Random-Valued Impulse Noise (RVIN) may cause image degradation. RVIN is known as no... [more] SIS2020-34
pp.35-40
SIS, ITE-BCT 2020-10-01
14:00
Online Online An FPGA Implementation of Human Recognition using MRCoHOG Features
Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (EQUOS RESEARCH), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2020-16
In this research, we design a hardware of human recognition using Multiresolution Co-occurrence Histograms of Oriented G... [more] SIS2020-16
pp.35-39
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-03
13:40
Online Online A Color Image Quantization Method Taking Account of Chromatic Visual Impression
Yukiya Fukuda (Kyutech), Ryosuke Kubota (NIT,UC), Hakaru Tamukoh (Kyutech) SIS2020-3
 [more] SIS2020-3
pp.13-18
SIS 2020-03-05
15:30
Saitama Saitama Hall
(Cancelled but technical report was issued)
Deep Neural Networks for Object Detection and Classification on Domestic Service Robots
Yutaro Ishida, Hakaru Tamukoh (Kyutech) SIS2019-45
We propose a semi-automatic data set generation method, and a system integration method of robot operating system (ROS) ... [more] SIS2019-45
pp.45-50
CAS, MSS, IPSJ-AL [detail] 2019-11-28
17:10
Fukuoka   [Invited Talk] Circuits and Systems for Brain-Inspired Artificial Intelligence on Home Service Robots
Hakaru Tamukoh (Kyutech) CAS2019-54 MSS2019-33
 [more] CAS2019-54 MSS2019-33
p.71
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
11:20
Nagasaki Fukue Culture Center A random number generation method for hardware implemented neural networks
Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2019-1
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks su... [more] SIS2019-1
pp.1-4
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
13:15
Nagasaki Fukue Culture Center Autoencoders having surplus neurons in a hidden layer
Akihiro Suzuki, Hakaru Tamukoh (KYUTECH) SIS2019-3
Unknown data is not compatible with a supervised training. This study employ autoencoders (AEs) to detect unknwon data. ... [more] SIS2019-3
pp.11-16
SIS 2019-03-06
13:00
Tokyo Tokyo Univ. Science, Katsushika Campus Evaluation of an FPGA Implementation of MRCoHOG Feature using High-Level Synthesis
Yuya Nagamine, Kazuki Yoshihiro, Hakaru Tamukoh (Kyutech) SIS2018-37
In this report, we evaluate a Field Programmable Gate Array (FPGA) implementation of Multiresolution Co-occurrence Histo... [more] SIS2018-37
pp.1-4
SIS 2019-03-06
14:30
Tokyo Tokyo Univ. Science, Katsushika Campus Complementary Color Reconstruction by Autoencoders
Akihiro Suzuki, Hakaru Tamukoh (Kyutech) SIS2018-41
This study proposes a novel training method for autoencoders (AEs) that gives the AEs complementary color images as targ... [more] SIS2018-41
pp.23-28
SIS 2019-03-07
12:15
Tokyo Tokyo Univ. Science, Katsushika Campus A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement
Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51
In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient color... [more] SIS2018-51
pp.75-80
NLP, NC
(Joint)
2019-01-23
15:20
Hokkaido The Centennial Hall, Hokkaido Univ. An integrated circuit model of hippocampus and entorhinal cortex for home service robots
Ryo Shimodome, Masashi Kawauchi, Kensuke Takada, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie (Kyutech) NC2018-39
To construct brain-like memory systems, which are desired in the current artificial intelligence, with dedicated hardwar... [more] NC2018-39
pp.5-10
SIS 2018-12-07
10:30
Yamaguchi Hagi Civic Center Hardware Oriented Object Recognition Neural Network using Depth Image
Yuma Yoshimoto, Hakaru Tamukoh (KIT) SIS2018-32
In recent years, deep learning using Convolutional Neural Network (CNN) has attracted attention as a powerful method for... [more] SIS2018-32
pp.55-60
SIS, ITE-BCT 2018-10-26
11:30
Kyoto Kyoto University Clock Tower Centennial Hall A Hardware Implementation of Craik-O'Brien Effect-Based Contrast Improvement for Dichromats
Tomohiro Ono (Kyutech), Ryosuke Kubota (NITUC), Noriaki Suetake (YU), Hakaru Tamukoh (Kyutech) SIS2018-20
In this paper, we design a digital hardware circuit to realize the contrast improvement algorithm for dichromats. The pr... [more] SIS2018-20
pp.95-100
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-07
14:20
Hokkaido Jozankei View Hotel Estimation of heart rate variability parameters using pulse waved measured by smartphone cameras
Yuichiro Tanaka, Akihiro Suzuki (Kyutech), Hirohisa Isogai (Kyushu Sangyo University), Masaaki Iwasaki (Bratech), Hakaru Tamukoh (Kyutech) SIS2018-4
Heart rate variability (HRV) parameters are used for analysing activations of autonomic nervous. Generally, the HRV para... [more] SIS2018-4
pp.35-38
 Results 1 - 20 of 76  /  [Next]  
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