Neural Information Processing: 26th International Conference, Iconip 2019, Sydney, Nsw, Australia, December 12-15, 2019, Proceedings, Part V
暫譯: 神經資訊處理:第26屆國際會議,ICONIP 2019,澳洲悉尼,2019年12月12-15日,會議論文集,第五部分

Gedeon, Tom, Wong, Kok Wai, Lee, Minho

  • 出版商: Springer
  • 出版日期: 2019-12-06
  • 售價: $4,510
  • 貴賓價: 9.5$4,285
  • 語言: 英文
  • 頁數: 792
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030368017
  • ISBN-13: 9783030368012
  • 海外代購書籍(需單獨結帳)

商品描述

The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.

For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.

商品描述(中文翻譯)

這兩卷的 CCIS 1142 和 1143 是在 2019 年 12 月於澳洲悉尼舉行的第 26 屆國際神經資訊處理會議(ICONIP 2019)上發表的經過徹底審稿的貢獻論文集。

在 ICONIP 2019 中,共有 645 篇投稿,經過仔細審查後選出 345 篇論文進行出版。本卷集包含的 168 篇論文被組織成以下主題部分:對抗網絡與學習;卷積神經網絡;深度神經網絡;嵌入與特徵融合;以人為中心的計算;以人為中心的計算與醫學;以人為中心的計算情感;混合模型;通過神經技術進行的圖像處理;從不完整數據中學習;模型壓縮與優化;神經網絡應用;神經網絡模型;基於語義和圖的方式;社交網絡計算;脈衝神經元及相關模型;使用神經技術的文本計算;時間序列及相關模型;以及無監督神經模型。

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