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Sensor management method based on weighted optimal sub-pattern assignment distance in multiple extended target tracking
期刊论文
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 卷号: 39, 期号: 5, 页码: 887-896
作者:
Chen, Hui
;
Liu, Ya-Ting
;
Zhang, Shuang-Qing
;
Han, Chong-Zhao
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/20
Clutter (information theory)
Decision making
Decision theory
Dispersions
Inverse problems
Markov processes
Numerical methods
Set theory
State estimation
Extended targets
Extendedtarget tracking (ETT)
Management method
Multiple extended target tracking
Optimisations
Partially observable Markov decision process
Random finite sets
Sensor management
Sub-patterns
Weighted optimal sub-pattern assignment
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system
Algorithms for computing greatest common divisors of parametric multivariate polynomials
期刊论文
JOURNAL OF SYMBOLIC COMPUTATION, 2021, 卷号: 102, 页码: 3-20
作者:
Kapur, Deepak
;
Lu, Dong
;
Monagan, Michael
;
Sun, Yao
;
Wang, Dingkang
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2020/09/23
Parametric multivariate polynomials
Gcd system
Minimal comprehensive Grobner system
Ideal intersection
Ideal quotient
Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data
期刊论文
BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 6, 页码: -
作者:
Zhang, Xuan
;
Li, Jing
;
Pan, Bang-Zhen
;
Chen, Wen
;
Chen, Maosheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/09/08
Extended mining
Oil biosynthesis
Jatropha curcas
Transcriptome
Gene interactome
Reinforcement Learning with Dynamic Movement Primitives for Obstacle Avoidance
期刊论文
Applied Sciences-Basel, 2021, 卷号: 11, 期号: 23, 页码: 13
作者:
A. Li
;
Z. Z. Liu
;
W. R. Wang
;
M. C. Zhu
;
Y. H. Li
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/06/14
An effective digital pulse processing method for pile-up pulses in decay studies of short-lived nuclei
期刊论文
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 卷号: 971, 页码: 5
作者:
Wang, X.
;
Li, Z. H.
;
Liu, Z.
;
Li, J.
;
Hua, H.
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/01/13
Pile-up pulse
Algorithm
alpha decay
Conversion electron
Energy resolution
Automatic Calibration of Process Noise Matrix and Measurement Noise Covariance for Multi-GNSS Precise Point Positioning
期刊论文
MATHEMATICS, 2020, 卷号: 8, 期号: 4, 页码: 20
作者:
Zhang, Xinggang
;
Li, Pan
;
Tu, Rui
;
Lu, Xiaochun
;
Ge, Maorong
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/09/01
EM-algorithm
multi-GNSS
PPP
process noise
observation covariance matrix
extended Kalman filter
machine learning
Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents
期刊论文
PLANT METHODS, 2019, 卷号: 15, 期号: 1, 页码: 11
作者:
Zang, Ziyi
;
Wang, Jie
;
Cui, Hong-Liang
;
Yan, Shihan
收藏
  |  
浏览/下载:111/0
  |  
提交时间:2019/12/03
Terahertz imaging
Quantitative analysis
Plant leaf
Water content
Solid matter content
Gas content
Spatial variability
Plant disease detection
A reconfigurable computing architecture for 5G communication
期刊论文
Journal of Central South University, 2019, 期号: 0, 页码: 0
作者:
GUO Yang
;
LIU Zi-Jun
;
YANG Lei
;
LI Huan
;
WANG Dong-Lin
收藏
  |  
浏览/下载:85/0
  |  
提交时间:2019/07/11
5g
Instruction Set
Register File
Code Compression
Throughput
Power Consumption.
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:
Ma, Zhanyu
;
Lai, Yuping
;
Kleijn, W. Bastiaan
;
Song, Yi-Zhe
;
Wang, Liang
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/07/12
Bayesian estimation
computer vision
Dirichlet process (DP) mixture
inverted Dirichlet distribution
variational learning
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