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基于深度学习的单侧肢体不同关节运动想象解码研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  马学林
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脑-机接口,运动想象,单侧肢体,认知失联,深度学习  
Large-Scale Bisample Learning on ID Versus Spot Face Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 卷号: 127, 期号: 6-7, 页码: 684-700
Authors:  Zhu, Xiangyu;  Liu, Hao;  Lei, Zhen;  Shi, Hailin;  Yang, Fan;  Yi, Dong;  Qi, Guojun;  Li, Stan Z.
Adobe PDF(2007Kb)  |  Favorite  |  View/Download:115/0  |  Submit date:2019/07/11
Face recognition  ID versus spot  Large-scale bisample learning  Dominant prototype softmax  
脑电情绪识别中跨被试迁移学习方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  李劲鹏
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脑-机接口,情绪识别,深度学习,迁移学习,领域自适应,对抗训练  
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition 会议论文
, Long Beach, USA, 2019/6/16-2019/6/20
Authors:  Hao Liu;  Xiangyu Zhu;  Zhen Lei;  Stan Z.Li
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文本向量表示方法研究 学位论文
, 北京: 中国科学院研究生院, 2018
Authors:  王少楠
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自然语言理解  语义表示  词汇表示  短语表示  句子表示  
Empirical ExploringWord-Character Relationship for Chinese Sentence Representation 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2018, 卷号: 3, 期号: 17, 页码: 1-15
Authors:  shaonan wang;  jiajun zhang;  chengqing zong
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Sentence representation  composition model  
Multi-modality Network with Visual and Geometrical Information for Micro Emotion Recognition 会议论文
, Washington, DC, May 30 –June 3, 2017
Authors:  Jianzhu Guo;  Shuai Zhou;  Jinlin Wu;  Jun Wan;  Xiangyu Zhu;  Zhen Lei;  Stan Z. Li
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Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
Authors:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
View  |  Adobe PDF(3664Kb)  |  Favorite  |  View/Download:143/31  |  Submit date:2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
Impact of Flavor on Electronic Cigarette Marketing in Social Media 会议论文
, USA, 11.17-11.18
Authors:  Yunji Liang;  Xiaolong Zheng;  Daniel Zeng;  Xingshe Zhou
View  |  Adobe PDF(31064Kb)  |  Favorite  |  View/Download:295/181  |  Submit date:2018/01/08