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IEICE Nonlinear Theory and Its Applications最新文献

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Frequency domain-based bit-depth enhancement method and dealing with different bit-depth degradation 基于频域的比特深度增强方法及处理不同比特深度退化的方法
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2023-01-01 DOI: 10.1587/nolta.14.449
Taishi Iriyama, H. Aomori, T. Otake
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引用次数: 0
Feature analysis of sentence vectors by an image-generation model using Sentence-BERT 基于sentence - bert图像生成模型的句子向量特征分析
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2023-01-01 DOI: 10.1587/nolta.14.508
Masato Izumi, K. Jin'no
{"title":"Feature analysis of sentence vectors by an image-generation model using Sentence-BERT","authors":"Masato Izumi, K. Jin'no","doi":"10.1587/nolta.14.508","DOIUrl":"https://doi.org/10.1587/nolta.14.508","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"2007 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78652978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
360-degree panoramic video generation using virtual and actual multiple cameras 360度全景视频生成使用虚拟和实际多个摄像头
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2023-01-01 DOI: 10.1587/nolta.14.2
Soo-Yeol Ok, Suk-Hwan Lee
{"title":"360-degree panoramic video generation using virtual and actual multiple cameras","authors":"Soo-Yeol Ok, Suk-Hwan Lee","doi":"10.1587/nolta.14.2","DOIUrl":"https://doi.org/10.1587/nolta.14.2","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"10 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78653558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A study on the role of latent variables in the encoder-decoder model using image datasets 利用图像数据集研究隐变量在编码器-解码器模型中的作用
IEICE Nonlinear Theory and Its Applications Pub Date : 2023-01-01 DOI: 10.1587/nolta.14.652
Saki Okamoto, Kenya Jin'no
{"title":"A study on the role of latent variables in the encoder-decoder model using image datasets","authors":"Saki Okamoto, Kenya Jin'no","doi":"10.1587/nolta.14.652","DOIUrl":"https://doi.org/10.1587/nolta.14.652","url":null,"abstract":"An encoder-decoder model consists of an encoder that encodes the input into a low-dimensional latent variable and a decoder that decodes the obtained latent variable to the same dimension as the input. The encoder-decoder model performs representation learning to automatically extract features of the data, but the model is a black box and it is not clear what features are extracted. We focused on whether including a skip connection between the encoder and decoder increased accuracy. It is generally believed that this skip connection plays a role in conveying high-resolution information. However, its actual role remains unclear. In this study, we focused on this concatenation. We experimentally clarified the role of the latent variables conveyed by this concatenation when the images given to the input and output were the same or different during training.","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135843339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Bifurcations in a forced Wilson-Cowan neuron pair 强迫Wilson-Cowan神经元对的分岔
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2023-01-01 DOI: 10.1587/nolta.14.366
Masaki Yoshikawa, K. Ono, T. Ueta
{"title":"Bifurcations in a forced Wilson-Cowan neuron pair","authors":"Masaki Yoshikawa, K. Ono, T. Ueta","doi":"10.1587/nolta.14.366","DOIUrl":"https://doi.org/10.1587/nolta.14.366","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"49 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74378370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fine-grained QoS provisioning with micropayments in wireless networks 无线网络中微支付的细粒度QoS配置
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2023-01-01 DOI: 10.1587/nolta.14.50
Hideya Masaki, Kien Nguyen, Hiroo Sekiya
{"title":"Fine-grained QoS provisioning with micropayments in wireless networks","authors":"Hideya Masaki, Kien Nguyen, Hiroo Sekiya","doi":"10.1587/nolta.14.50","DOIUrl":"https://doi.org/10.1587/nolta.14.50","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72720458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Functional connectivity analysis on hierarchical reservoir computing model 分层油藏计算模型的功能连通性分析
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2022-01-01 DOI: 10.1587/nolta.13.446
Yoshihiro Yonemura, Yuichi Katori
{"title":"Functional connectivity analysis on hierarchical reservoir computing model","authors":"Yoshihiro Yonemura, Yuichi Katori","doi":"10.1587/nolta.13.446","DOIUrl":"https://doi.org/10.1587/nolta.13.446","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"6 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91014422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Consideration of the output series generated by hysteresis reservoir computing 考虑迟滞油藏计算产生的输出序列
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2022-01-01 DOI: 10.1587/nolta.13.258
Tsukasa Saito, K. Jin'no
{"title":"Consideration of the output series generated by hysteresis reservoir computing","authors":"Tsukasa Saito, K. Jin'no","doi":"10.1587/nolta.13.258","DOIUrl":"https://doi.org/10.1587/nolta.13.258","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"90 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90598908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the study of the memory-less quasi-Newton method with momentum term for neural network training 神经网络训练中带动量项的无记忆拟牛顿方法研究
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2022-01-01 DOI: 10.1587/nolta.13.271
Shahrzad Mahboubi, Ryo Yamatomi, S. Indrapriyadarsini, H. Ninomiya, H. Asai
{"title":"On the study of the memory-less quasi-Newton method with momentum term for neural network training","authors":"Shahrzad Mahboubi, Ryo Yamatomi, S. Indrapriyadarsini, H. Ninomiya, H. Asai","doi":"10.1587/nolta.13.271","DOIUrl":"https://doi.org/10.1587/nolta.13.271","url":null,"abstract":"","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"65 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90834877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental demonstration of adaptive model selection based on reinforcement learning in photonic reservoir computing 基于强化学习的自适应模型选择在光子库计算中的实验证明
IF 0.5
IEICE Nonlinear Theory and Its Applications Pub Date : 2022-01-01 DOI: 10.1587/nolta.13.123
Ryohei Mito, Kazutaka Kanno, M. Naruse, A. Uchida
{"title":"Experimental demonstration of adaptive model selection based on reinforcement learning in photonic reservoir computing","authors":"Ryohei Mito, Kazutaka Kanno, M. Naruse, A. Uchida","doi":"10.1587/nolta.13.123","DOIUrl":"https://doi.org/10.1587/nolta.13.123","url":null,"abstract":": Reservoir computing provides superior information processing ability for a time series prediction based on appropriate learning prior to task execution. The performance of reservoir computing, however, may degrade if the characteristics of the input signal drastically change over time because the internal model of reservoir computing deviates from the subjected input signal trains. We propose a method for adaptive model selection using reinforcement learning in electro-optic delay-based reservoir computing. We experimentally show that an adaptive model selection is effective when different dynamical models for the input signals change dynamically over time.","PeriodicalId":54110,"journal":{"name":"IEICE Nonlinear Theory and Its Applications","volume":"13 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87393182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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