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 折 $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
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。