Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SeMI |
2024-01-18 13:30 |
Yamanashi |
Raki House Kaiji |
Enhancing Human Skeleton Estimation with Multi-Frame mmWave Radar Point Cloud-based Method Xintong Shi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-52 |
Millimeter-Wave (mmWave) radar-based skeleton estimation has emerged as a focal point in the realm of human motion analy... [more] |
SeMI2023-52 pp.18-21 |
IBISML |
2022-12-23 09:40 |
Kyoto |
Kyoto University (Primary: On-site, Secondary: Online) |
Effect of memory unit initialization on performance for function approximation Yuto Terasawa, Jun Ohkubo (Saitama Univ.) IBISML2022-52 |
Many researchers have proposed various neural network models for learning time-series data, such as RNN, LSTM, and Trans... [more] |
IBISML2022-52 pp.62-69 |
EMM |
2022-01-27 13:50 |
Online |
Online |
Introduction of auto-associative memory model to zero-watermarking method using hetero-associative memory model Ryoto Kanegae, Masaki Kawamura (Yamaguchi Univ) EMM2021-86 |
We propose a method that introduces an auto-associative memory model to Shimana and Kawamura's method that utilizes a he... [more] |
EMM2021-86 pp.13-18 |
NC, MBE (Joint) |
2021-03-05 11:20 |
Online |
Online |
Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine Ryuta Sasaki, Toru Aonishi (TokyoTech), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (NTT/Stanford Univ.) NC2020-68 |
The coherent Ising machine (CIM) is being developed as one of the Ising computers for solving combinatorial optimization... [more] |
NC2020-68 pp.145-150 |
MBE, NC (Joint) |
2020-12-18 15:40 |
Online |
Online |
Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, ma... [more] |
NC2020-30 pp.13-18 |
HIP, ASJ-H |
2020-02-15 17:15 |
Okinawa |
IT Souzou-kan Bldg. (Naha) |
Effects of incomplete memorization on cognitive models Toshihiko Matsuka (Chiba Univ.), Yoshiko Kawabata (NINJAL), Kuangzhe Xu (Chiba Univ.) HIP2019-86 |
Dropout has been introduced as a simple yet effective method to prevent over-learning in deep learning. Although its me... [more] |
HIP2019-86 pp.47-50 |
NC, MBE (Joint) |
2019-03-05 16:40 |
Tokyo |
University of Electro Communications |
Functional verification of human inference system based on a value driven associative memory Masahiro Miyata, Takashi Omori (Tamagawa Univ) NC2018-73 |
Humans use two types of inferences: intuitive and logical. However, they are studied separately. A site for logical infe... [more] |
NC2018-73 pp.157-162 |
CAS, NLP |
2018-10-18 11:25 |
Miyagi |
Tohoku Univ. |
A Modeling on Eye Movements in Visual Search Yoshinobu Maeda, Ryunosuke Kodera, Masayuki Tsuno (Niigata Univ.), Makoto Ozawa, Taishin Nomura (Osaka Univ.), Akira Tsukada (NIT Toyama College) CAS2018-40 NLP2018-75 |
According to Hick’s law, the time to find a target symbol from many alternatives is relatively short, i.e., it is not pr... [more] |
CAS2018-40 NLP2018-75 pp.19-24 |
MBE, NC (Joint) |
2018-03-13 10:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Statistical mechanics of coherent Ising machine
-- The case of infinite loading Hopfield model -- Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-69 |
The coherent Ising machine (CIM) has attracted attention as one of the most effective Ising computing architectures for ... [more] |
NC2017-69 pp.9-14 |
MBE, NC, NLP (Joint) |
2018-01-27 11:45 |
Fukuoka |
Kyushu Institute of Technology |
Neural Pulse Coding using ReRAM-based Neuron Devices Kazuki Nakada (Hiroshima City Univ.) NLP2017-98 |
Researches on hardware implementation of neuromorphic systems and machine learning algorithms are steadily progressing. ... [more] |
NLP2017-98 pp.63-68 |
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 |
NLP |
2017-07-13 13:25 |
Okinawa |
Miyako Island Marine Terminal |
On the Efficiency of Limited-Memory quasi-Newton Training using Second-Order Approximation Gradient Model with Inertial Term Shahrzad Mahboubi, Hiroshi Ninomiya (SIT) NLP2017-32 |
In recent years, along with large-scale data, it is expected that the scale of neural network will be large too. Therefo... [more] |
NLP2017-32 pp.23-28 |
NLC, IPSJ-IFAT |
2017-02-09 11:05 |
Osaka |
|
Observations on the influence of linguistic features and voice features in conversation on memory and impressions
-- Evaluate personality through differences -- Kotomi Takamuku, Yasuo Tanida (Synergy Marketing) NLC2016-41 |
We are working on the construction of mind model through the analysis of communication especially voice dialogue. First ... [more] |
NLC2016-41 pp.7-12 |
MBE, NC (Joint) |
2015-12-19 14:50 |
Aichi |
Nagoya Institute of Technology |
An Associative Memory Model with Forgetting Process by Eliminating Weak Synapses Takuya Akamine, Koji Kurata (Univ Ryukyu) NC2015-50 |
In associative memory models overloading beyond the memory capacity causes catastrophic forgetting. In order to avoid it... [more] |
NC2015-50 pp.25-30 |
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 |
NS, IN (Joint) |
2014-03-07 08:50 |
Miyazaki |
Miyazaki Seagia |
Proposal and evaluation of a active routing method based on attractor selection model with memory Tomohiro Nakao, Jun-nosuke Teramae, Naoki Wakamiya (Osaka Univ.) IN2013-177 |
Distributed-autonomous mechanisms have recently attracted much attention to realize robust and scalable
routing protoco... [more] |
IN2013-177 pp.199-203 |
NC, IPSJ-BIO |
2013-06-28 10:30 |
Okinawa |
Okinawa Institute of Science and Technology |
Optimal pairs of coupling function and STDP window function for auto-associative memory Ryota Miyata, Keita Sato, Toru Aonishi (Tokyo Inst. of Tech.) NC2013-6 |
From the computational viewpoint, Lengyel et al. (2005) derived an optimal auto-associative memory algorithm to store an... [more] |
NC2013-6 pp.101-106 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Digital Network Automata of Language
-- A Proposal of Analytical Method for Complex System through interdisciplinary document search and reading -- Kimiaki Tokumaru (System Engineer) IBISML2012-64 |
The author realized in 2008 that human language is digital, and have been studying its logical mechanism. His research m... [more] |
IBISML2012-64 pp.213-220 |
NC |
2012-07-31 13:40 |
Shiga |
Ritsumeikan Univ. College of Information Science and Engineering |
Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization
-- Reverse Replay and Temporally Structured Replay Cases -- Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-30 |
It has been reported that reverse replay and temporally-structured replay of ensemble spiking patterns occur during both... [more] |
NC2012-30 pp.89-94 |
NC, IPSJ-BIO |
2012-06-28 14:15 |
Okinawa |
OIST, Okinawa |
Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-10 |
We employ a top-down approach to finding optimal neural implementations for executing a computation of the hippocampal C... [more] |
NC2012-10 pp.53-58 |