中国科学院机构知识库网格系统: 检索

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	Ultra-strong heavy-drawn eutectic high entropy alloy wire 期刊论文 OAI收割 ACTA MATERIALIA, 2023, 卷号: 243, 页码: 14 作者: Chen JX(陈金玺); Li T(李统); Chen Y(陈艳); Cao FH(曹富华); Wang HY(汪海英) \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2023/02/03 Eutectic high entropy alloy wire Mechanical properties Gradient heterogeneous lamella structure Cross-slip
	Ductilizing Ti19Zr19Hf19Nb19TM5Be19 (TM = Fe, Co, Ni and Cu) high-entropy bulk metallic glass composites via in-situ precipitated refractory high-entropy alloy dendrites 期刊论文 OAI收割 INTERMETALLICS, 2023, 卷号: 152, 页码: 10 作者: Liu, M. L.; Li, W.; Zeng, S.; Li, Y. F.; Fu, H. M. \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2023/05/09 High -entropy bulk metallic glasses High -entropy alloys Cross slip Dislocation multiplication Tensile ductility
	Ductilizing Ti19Zr19Hf19Nb19TM5Be19 (TM = Fe, Co, Ni and Cu) high-entropy bulk metallic glass composites via in-situ precipitated refractory high-entropy alloy dendrites 期刊论文 OAI收割 INTERMETALLICS, 2023, 卷号: 152, 页码: 10 作者: Liu, M. L.; Li, W.; Zeng, S.; Li, Y. F.; Fu, H. M. \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2023/05/09 High -entropy bulk metallic glasses High -entropy alloys Cross slip Dislocation multiplication Tensile ductility
	Ductile Ti1.5ZrNbAl0.3 refractory high entropy alloy with high specific strength 期刊论文 OAI收割 MATERIALS LETTERS, 2021, 卷号: 290, 页码: 4 作者: Pang, Jingyu; Zhang, Hongwei; Zhang, Long; Zhu, Zhengwang; Fu, Huameng \| 收藏 \| 浏览/下载：68/0 \| 提交时间：2021/10/15 Refractory high-entropy alloys Specific yield strength Deformation and fracture Solid solution strength Cross-slip of dislocations Microstructure
	Recognizing Profile Faces by Imagining Frontal View 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 页码: 19 作者: Zhao, Jian; Xing, Junliang; Xiong, Lin; Yan, Shuicheng; Feng, Jiashi \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2020/03/30 Pose-invariant face recognition Face frontalization Cross-domain adversarial learning Meta-learning Learning to learn Enforced cross-entropy optimization Generative adversarial networks
	Motor Skills Learning and Generalization with Adapted Curvilinear Gaussian Mixture Model 期刊论文 OAI收割 Journal of Intelligent and Robotic Systems: Theory and Applications, 2019, 卷号: 96, 期号: 3-4, 页码: 457-475 作者: Zhang HW(张会文); Leng YQ(冷雨泉) \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/03/30 Skill learning Cross entropy Curvilinear Gaussian model Imitation learning
	Combined Forecasting of Rainfall Based on Fuzzy Clustering and Cross Entropy 期刊论文 OAI收割 ENTROPY, 2017, 卷号: 19, 期号: 12, 页码: 15 作者: Men, Baohui; Long, Rishang; Li, Yangsong; Liu, Huanlong; Tian, Wei \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2019/09/25 rainfall forecast cross entropy ant colony fuzzy clustering combined forecast
	Rapid pedestrian detection in unseen scenes 期刊论文 OAI收割 neurocomputing, 2011, 卷号: 74, 期号: 17, 页码: 3343-3350 作者: Cao, Xianbin; Wang, Zhong; Yan, Pingkun; Li, Xuelong 收藏 \| 浏览/下载：13/0 \| 提交时间：2012/06/29 Pedestrian detection system Adaptive detector cascade classifier Cross entropy Ternary detection pattern
	An information theoretic approach to model reduction based on frequency-domain Cross-Gramian information (EI CONFERENCE) 会议论文 OAI收割 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, July 7, 2010 - July 9, 2010, Jinan, China 作者: Zhou J. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 We focused our attention on model reduction for linear time invariant (LTI) continuous time systems with single input and single output (SISO). We analyzed the strongpoint and shortcoming of an information theoretic approach called minimum information loss method for model reduction. We explained relationships between the steady-state information entropy and controllability information for the Gaussian systems. The controllability observability and Cross-Gramian information were analyzed in the time-domain. The frequency-domain Cross-Gramian information (FCGI) was defined based on Cross-Gramian matrix containing information associated with both controllability and observability. Furthermore a valuable application of the frequency-domain Cross-Gramian information to model reduction (FCGMIL) was developed by using the concept and properties of frequency-domain Cross-Gramian information. The performance index of FCGMIL is to minimize the frequency-domain Cross-Gramian information loss caused by eliminating the state variables with weak contributions to Cross-Gramian information over some frequency band. Two numerical examples are illustrated to verify the efficiency of FCGMIL. 2010 IEEE.