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西安交通大学 [11]
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SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:
Xie, Guo-Sen
;
Zhang, Zheng
;
Liu, Li
;
Zhu, Fan
;
Zhang, Xu-Yao
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/01/07
Training
Task analysis
Learning systems
Computational modeling
Optimization
Support vector machines
Principal component analysis
Feature learning
feature selection
least squares
subspace learning
Unsupervised text topic-related gene extraction for large unbalanced datasets
会议论文
China, 2020-06-01
作者:
Jing-Ming, Li
;
Jing-Tao, Sun
;
Wen-Han, Huang
;
Qiu-Yu, Zhang
;
Zhen-Zhou, Tian
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2020/12/18
Classification (of information)
Data mining
Extraction
Feature extraction
Genes
Independent component analysis
Large datasetCalculation of similarities
Feature extraction algorithms
Feature selection methods
Information entropy
Multidimensional statistical data
Performance of classifier
Unbalanced datasets
Unbalanced distribution
Unsupervised text topic-related gene extraction for large unbalanced datasets
期刊论文
Tehnicki Vjesnik, 2020, 卷号: 27, 期号: 3, 页码: 842-852
作者:
Jing-Ming, Li
;
Jing-Tao, Sun
;
Wen-Han, Huang
;
Qiu-Yu, Zhang
;
Zhen-Zhou, Tian
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Classification (of information)
Data mining
Extraction
Feature extraction
Genes
Independent component analysis
Large dataset
Calculation of similarities
Feature extraction algorithms
Feature selection methods
Information entropy
Multidimensional statistical data
Performance of classifier
Unbalanced datasets
Unbalanced distribution
How many channels are suitable for independent component analysis in motor imagery brain-computer interface
期刊论文
Biomedical Signal Processing and Control, 2019, 卷号: Vol.50, 页码: 103-120
作者:
Lei Zhang
;
Jing Ruan
;
Zhao LV
;
Xiaopei Wu
;
Bangyan Zhou
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/24
Brain
computer
interface
Independent
component
analysis
Channel
selection
Motor
imagery
A Sub-Regional Extraction Method of Common Mode Components from IGS and CMONOC Stations in China
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 11
作者:
Wu, Shuguang
;
Nie, Guigen
;
Liu, Jingnan
;
Wang, Kezhi
;
Xue, Changhu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/05
IGS stations
CMONOC stations
principal component analysis
common mode component
sub-regional extraction
station-selection criteria
Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4360-4374
作者:
Xiaohui Wei
;
Wen Zhu
;
Bo Liao
;
Lijun Cai
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Principal component analysis
Big Data
Matrix decomposition
Sensors
Adaptive regression
classification
convolutional neural network (CNN)
hyperspectral band selection
one-pass self-representation learning (SRL)
row-sparsity norm
Research on a Faulty Line Selection Method Based on the Zero-Sequence Disturbance Power of Resonant Grounded Distribution Networks
期刊论文
2019, 卷号: 12
作者:
Shao, Wenquan
;
Bai, Jie
;
Cheng, Yuan
;
Zhang, Zhihua
;
Li, Ning
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/20
single phase-to-ground fault
resonant grounded distribution network (RGDN)
faulty line selection (FLS)
DC component
power integral
Total polyphenol quantitation using integrated NIR and MIR spectroscopy: A case study of Chinese dates (Ziziphus jujuba)
期刊论文
PHYTOCHEMICAL ANALYSIS, 2019, 卷号: 30, 期号: 3, 页码: 357-363
作者:
Arslan, Muhammad[1]
;
Zou Xiaobo[2]
;
Tahir, Haroon Elrasheid[3]
;
Zareef, Muhammad[4]
;
Hu Xuetao[5]
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/24
genetic algorithms
polyphenols
principal component analysis
spectral interval selection
spectroscopy techniques
Speech enhancement for in-vehicle voice control systems using wavelet analysis and blind source separation
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 页码: 693-702
作者:
Lei, Peng
;
Chen, Meiling
;
Wang, Jun
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
automobiles
blind source separation
independent component analysis
Fourier transforms
signal denoising
wavelet transforms
speech enhancement
in-vehicle voice control systems
wavelet analysis
blind source separation
signal-to-interference ratio
speech-based intelligent driver assistant systems
serious impact
voice control commands
speech enhancement method
complicated automobile environment
typical speech signals
automatic selection method
optimal wavelet basis
signal
An Unsupervised Feature Selection Method Based on Information Entropy
会议论文
Proceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2018-11-24
作者:
Wang, X.
;
He, Y.
;
Wang, L.
;
Wang, Z.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Antennas
Brushless DC motors
Extraction
Life cycle
Principal component analysis
Reliability
Unmanned aerial vehicles (UAV)
Vibration analysis
Brushless direct current motor
Information entropy
multi axial
Multiparameters
Unsupervised feature selection
Feature extraction
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