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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-12-16
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Sampling Strategy in Data Pruning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] PRMU2022-48
SIS, ITE-BCT 2022-10-14
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Robust Semi-Supervised Learning for Noisy Labels Using Early-learning Regularization and Weighted Loss
Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2022-16
Training Deep Neural Networks (DNNs) on datasets with incorrect labels (label noise) is an important challenge. In the p... [more] SIS2022-16
PRMU 2021-12-17
Online Online Data Selection for Efficient Deep Learning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2021-51
We are investigating the method to sample the important data from the whole dataset for efficient training of Deep Neura... [more] PRMU2021-51
PRMU 2020-12-18
Online Online Regularization Using Knowledge Distillation in Learning Small Datasets
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2020-61
Knowledge distillation is a method mainly used for compressing deep learning models, but it has recently gained attentio... [more] PRMU2020-61
Tokyo Kozo Keisaku Engineering Inc. Implementation of a General HRI Engine Based on RoIS Framework
Ryota Higashi, Eiichi Inohira (Kyutech) CNR2019-21
RoIS Framework is a standardization of software framework for robots services. Past implementations of the RoIS framewor... [more] CNR2019-21
SR 2014-10-30
Overseas I2R, Singapore [Poster Presentation] A Study on Undesired Spectrum Detection Method with FFT
Ryota Higashi, Mai Ohta (Fukuoka Univ.), Osamu Takyu (Sinshu Univ.), Takeo Fujii (Univ. of Electro-Comm.), Makoto Taromaru (Fukuoka Univ.) SR2014-65
The cognitive radio (CR) system utilizes a vacant spectrum (white space) in the coexistence environment with the existin... [more] SR2014-65
EMCJ 2008-07-17
Tokyo Kikai-Shinko-Kaikan Bldg Evaluation of Multiple Power-Supply Pin LECCS-core Model with Different Pattern Design Boards
Ryota Higashi, Kengo Iokibe (Okayama Univ.), Takahiro Tsuda, Kouji Ichikawa, Katsumi Nakamura (DENSO CORP.), Yoshitaka Toyota, Ryuji Koga (Okayama Univ.) EMCJ2008-33
We have proposed an EMC macro model, LECCS, to achieve fast simulations of RF power currents in IC/LSIs. The model consi... [more] EMCJ2008-33
 Results 1 - 7 of 7  /   
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