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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
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
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