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西安交通大学 [9]

北京航空航天大学 [6]

自动化研究所 [6]

湖南大学 [6]

兰州理工大学 [5]

华南理工大学 [3]

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	Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文 IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15 作者: Zhang, Yu; Zuo, Xin; Zheng, Xuxu; Gao, Xiaoyong; Wang, Bo 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/02/22 Few-shot learning Metric-based learning framework Softmax loss improvement
	Camera-aware representation learning for person re-identification 期刊论文 NEUROCOMPUTING, 2023, 卷号: 518, 页码: 155-164 作者: Wu, Jinlin; Yang, Yuxin; Lei, Zhen; Yang, Yang; Chen, Shukai 收藏 \| 浏览/下载：15/0 \| 提交时间：2023/02/22 Camera-imbalanced data distribution Sub -center hard mining Camera -balanced memory bank Multiple -center Softmax
	RVFace: Reliable Vector Guided Softmax Loss for Face Recognition 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2337-2351 作者: Wang, Xiaobo; Wang, Shuo; Liang, Yanyan; Gu, Liang; Lei, Zhen 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/06/06 Deep face recognition noisy labels detection margin-based softmax loss mining-based softmax loss discriminative feature learning
	DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920 作者: Zhang, Xinbang; Chang, Jianlong; Guo, Yiwen; Meng, Gaofeng; Xiang, Shiming 收藏 \| 浏览/下载：37/0 \| 提交时间：2021/11/02 Computer architecture Search problems Optimization Task analysis Bridges Binary codes Estimation Neural architecture search(NAS) ensemble gumbel-softmax distribution guided sampling
	Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 7, 页码: 4337-4347 作者: Yu, Keping; Lin, Long; Alazab, Mamoun; Tan, Liang; Gu, Bo 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/12/01 Mixed traffic big data 5G deep learning LSTM SoftMax intention recognition
	Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Wu, Jie 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/02/17 Complex networks Convolution Convolutional neural networks Deep neural networks Failure analysis Fault detection Fault classification Feature representation Hierarchical fusions Mechanical fault diagnosis Multi-sensor information fusion Multisensor data fusion One-dimensional features Softmax regressions
	The laser-induced damage change detection for optical elements using siamese convolutional neural networks 期刊论文 Applied Soft Computing, 2020, 卷号: 87, 页码: 106015 作者: Jingwei Kou; Tao Zhan; Deyun Zhou; Wei Wang; Zhengshang Da 收藏 \| 浏览/下载：126/0 \| 提交时间：2020/01/04 Laser-induced Damage Change Detection Siamese Convolutional Neural Network Weighted Softmax Loss
	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 作者: Zhu, Xiangyu; Liu, Hao; Lei, Zhen; Shi, Hailin; Yang, Fan 收藏 \| 浏览/下载：73/0 \| 提交时间：2019/07/11 Face recognition ID versus spot Large-scale bisample learning Dominant prototype softmax
	长短时记忆网络在电机故障诊断中的应用研究期刊论文自动化仪表, 2019, 期号: 2019年01期, 页码: 6-10 作者: 王惠中; 贺珂珂; 房理想收藏 \| 浏览/下载：10/0 \| 提交时间：2019/11/13 电机故障诊断梯度消失传统神经网络长短时记忆神经网络堆栈稀疏自编码器 Softmax多分类器泛化能力时间序列
	Multinomial Regression Model for the Evaluation of Multilevel Effects Caused by High-Power Electromagnetic Environments 期刊论文 IEEE Transactions on Electromagnetic Compatibility, 2019, 卷号: 61, 页码: 149-156 作者: LI, Ke-Jie; Xie, Yan-Zhao; Chen, Yu-Hao; Hui, Yong-Chang 收藏 \| 浏览/下载：34/0 \| 提交时间：2019/11/19 Computational modeling Electromagnetic pulse Electromagnetics Electronic equipment high-power electromagnetic (HPEM) environments Maximum likelihood estimation maximum likelihood estimation (MLE) Military standards multilevel effects evaluation multinomial regression Softmax model

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