中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与... [17]
高能物理研究所 [5]
自动化研究所 [5]
遥感与数字地球研究所 [3]
力学研究所 [2]
地理科学与资源研究所 [2]
更多
采集方式
OAI收割 [46]
iSwitch采集 [2]
内容类型
期刊论文 [28]
会议论文 [18]
学位论文 [2]
发表日期
2024 [2]
2023 [1]
2021 [5]
2019 [2]
2017 [5]
2016 [3]
更多
学科主题
光电子学 [2]
Environmen... [1]
Environmen... [1]
Geochemist... [1]
Life Scien... [1]
Physics [1]
更多
筛选
浏览/检索结果:
共48条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
期刊论文
OAI收割
APPLIED INTELLIGENCE, 2024, 页码: 23
作者:
Liu, Jing-Jing
;
Yao, Jie-Peng
;
Liu, Jin-Hang
;
Wang, Zhong-Yi
;
Huang, Lan
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2024/03/27
Missing time series data
Small samples
Imputation
Classification
Gradient penalized adversarial Multitasking
Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised
期刊论文
OAI收割
INFORMATION TECHNOLOGY AND CONTROL, 2024, 卷号: 53, 期号: 2, 页码: 336
作者:
Liu, Jing-Jing
;
Yao, Jie-Peng
;
Wang, Zhuo
;
Wang, Zhong-Yi
;
Huang, Lan
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/09/09
Small sample time series
Data augmentation
Fast Shapelets
Self-supervised learning
Semi-su- pervised classification
Infrared small target segmentation networks: A survey
期刊论文
OAI收割
PATTERN RECOGNITION, 2023, 卷号: 143
作者:
Kou, Renke
;
Wang, Chunping
;
Peng, Zhenming
;
Zhao, Zhihe
;
Chen, Yaohong
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/08/23
Infrared small target
Characteristic analysis
Segmentation network
Deep learning
Collaborative technology
Data-driven
False alarm
Missed detection
Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China
期刊论文
OAI收割
LAND USE POLICY, 2021, 卷号: 109, 页码: 14
作者:
Yin, Xu
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/09/21
Small towns
Intensive land use
Input and output efficiency
Data envelopment analysis
Economic density
China
Rural vitalization
Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China
期刊论文
OAI收割
LAND USE POLICY, 2021, 卷号: 109, 页码: 14
作者:
Yin, Xu
;
Wang, Jing
;
Li, Yurui
;
Feng, Zhiming
;
Wang, Qianyi
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/09/21
Small towns
Intensive land use
Input and output efficiency
Data envelopment analysis
Economic density
China
Rural vitalization
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 5, 页码: 2251-2265
作者:
Zhang, Yongqiang
;
Bai, Yancheng
;
Ding, Mingli
;
Xu, Shibiao
;
Ghanem, Bernard
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/06/15
Feature extraction
Semantics
Object detection
Proposals
Data mining
Visualization
Pedestrian detection
real-world scenarios
small-scale and heavily occluded
superresolution network
Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 20
作者:
Wang, Wenning
;
Liu, Xuebin
;
Mou, Xuanqin
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/04/19
hyperspectral classification
data augmentation
structural features
small sample classification
A real-time small target detection network
期刊论文
OAI收割
Signal Image and Video Processing, 2021, 卷号: 15, 期号: 6, 页码: 1265–1273
作者:
Ju MR(鞠默然)
;
Luo JN(罗江宁)
;
Liu GQ(刘广琦)
;
Luo HB(罗海波)
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/03/14
Small target detection
Deep convolutional neural network
Receptive feld
Data preprocessing
A REMARK ON GLOBAL SOLUTIONS TO RANDOM 3D VORTICITY EQUATIONS FOR SMALL INITIAL DATA
期刊论文
OAI收割
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2019, 卷号: 24, 期号: 8, 页码: 4021-4030
作者:
Roeckner, Michael
;
Zhu, Rongchan
;
Zhu, Xiangchan
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2020/01/10
Stochastic vorticity equations
controlled rough path
small initial data
Learning joint space–time–frequency features for EEG decoding on small labeled data
期刊论文
OAI收割
Neural Networks, 2019, 卷号: 114, 页码: 67-77
作者:
Feng XS(封锡盛)
;
Si BL(斯白露)
;
Tang FZ(唐凤珍)
;
Zhao DY(赵冬晔)
  |  
收藏
  |  
浏览/下载:124/0
  |  
提交时间:2019/04/13
Brain-computer interfaces
Convolutional neural network
Joint space–time–frequency feature learning
Subject-to-subject weight transfer
Small labeled data