中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与... [12]
自动化研究所 [4]
国家空间科学中心 [3]
力学研究所 [2]
地理科学与资源研究所 [2]
计算技术研究所 [2]
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OAI收割 [32]
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会议论文 [16]
期刊论文 [13]
学位论文 [2]
SCI/SSCI论文 [1]
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2024 [1]
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固体力学::结构优化... [1]
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Research on the adaptive regularization filtering method of reduction-to-the-pole
期刊论文
OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2024, 卷号: 67, 期号: 3, 页码: 1255-1272
作者:
He Tao
;
Wang Hao
;
Zhang YiMi
;
Wang WanYin
;
Farquharson, Colin G.
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/08/29
Reduction-to-the-pole (RTP)
Low latitudes areas
Amplitude
Adaptive regularization filtering
Iterative algorithm
基于Harris和卡尔曼滤波的农业机器人田间稳像算法
期刊论文
OAI收割
农业机械学报, 2023, 卷号: 54
作者:
王杰
;
经俊森
;
陈正伟
;
徐照胜
;
王少平
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/11/10
agricultural robot
image stabilization algorithm
Harris corner
Kalman filtering
农业机器人
稳像算法
Harris角点
卡尔曼滤波
Brain-Inspired Fast Saliency-Based Filtering Algorithm for Ship Detection in High-Resolution SAR Images
期刊论文
OAI收割
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60, 页码: 1-9
作者:
Zhang PP(张盼盼)
;
Luo HB(罗海波)
;
Ju MR(鞠默然)
;
He M(何淼)
;
Chang Z(常铮)
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/02/27
Brain-inspired
deep neural networks (DNNs)
Fast Saliency-based Filtering algorithm (FSF)
filtering mechanisms
priority map
saliency map
A hybrid recommendation system with many-objective evolutionary algorithm
期刊论文
OAI收割
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 卷号: 159, 页码: 10
作者:
Cai, Xingjuan
;
Hu, Zhaoming
;
Zhao, Peng
;
Zhang, WenSheng
;
Chen, Jinjun
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/01/06
Recommendation systems
Many-objective optimization
Hybrid recommender algorithm
Collaborative filtering
Bayesian dual neural networks for recommendation
期刊论文
OAI收割
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 6, 页码: 1255-1265
作者:
He, Jia
;
Zhuang, Fuzhen
;
Liu, Yanchi
;
He, Qing
;
Lin, Fen
  |  
收藏
  |  
浏览/下载:96/0
  |  
提交时间:2019/12/10
collaborative filtering
Bayesian neural network
hybrid recommendation algorithm
An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model
期刊论文
OAI收割
Remote Sensing, 2018, 卷号: 10, 期号: 7, 页码: 26
作者:
Liu, R.
;
Wang, D. J.
;
Jia, P.
;
Sun, H.
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/09/17
point target detection
dual-band model
optimal fused probability of
detection
omnidirectional morphological filtering
local difference
criterion
top-hat transform
2d images
algorithm
enhancement
features
filter
track
Remote Sensing
Detection of large-scale concentric gravity waves from a Chinese airglow imager network
期刊论文
OAI收割
Journal of Atmospheric and Solar-Terrestrial Physics, 2017
作者:
Lai Chang
;
Yue Jia
;
Xu Jiyao
;
Yuan Wei
;
Li Qinzeng
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2017/12/19
Concentric Gravity Waves
Large-scale Waves
All-sky Imager Network
Assembling Algorithm
Low-pass Filtering Algorithm
An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation
期刊论文
OAI收割
ENTROPY, 2017, 卷号: 19, 期号: 6, 页码: 281
作者:
Jin, Zhan
;
Li, Yingsong
;
Wang, Yanyan
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2018/02/28
Set-membership Proportionate Normalized Least Mean Square
Sparse Adaptive Filtering
Pnlms Algorithm
Zero Attracting Algorithm
Correntropy Induced Metric (Cim)
A Parallel Markov Cerebrovascular Segmentation Algorithm Based on Statistical Model
期刊论文
OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2016, 卷号: 31, 期号: 2, 页码: 400-416
作者:
Cao, Rong-Fei
;
Wang, Xing-Ce
;
Wu, Zhong-Ke
;
Zhou, Ming-Quan
;
Liu, Xin-Yu
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/12/13
cerebrovascular segmentation
non-local means filtering
Markov random field
particle swarm optimization algorithm
An Improved Kalman Filtering Method for Indoor Location
会议论文
OAI收割
2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016), Chengdu, China, October 14-17, 2016
作者:
Guo TT(郭廷廷)
;
Liu MZ(刘明哲)
;
Qiao F(乔枫)
;
Xu AD(徐皑冬)
;
Liu QN(刘秦宁)
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2016/12/21
indoor location
non-line of sight (NLOS)
location algorithm
Kalman filtering
location accuracy