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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [3]
计算技术研究所 [2]
长春光学精密机械与物... [1]
中国科学院大学 [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [7]
iSwitch采集 [1]
内容类型
期刊论文 [7]
会议论文 [1]
发表日期
2024 [1]
2015 [1]
2014 [1]
2009 [1]
2008 [4]
学科主题
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On the Equivalence of Linear Discriminant Analysis and Least Squares Regression
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 4, 页码: 5710-5720
作者:
Nie, Feiping
;
Chen, Hong
;
Xiang, Shiming
;
Zhang, Changshui
;
Yan, Shuicheng
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/07/04
Eigenvalues and eigenfunctions
Principal component analysis
Null space
Training data
Symmetric matrices
Sun
Optimization
Least squares regression (LSR)
linear discriminant analysis (LDA)
linear regression
minimum distance classifier (MDC)
null space LDA
Condensing Raman spectrum for single-cell phenotype analysis
期刊论文
OAI收割
BMC Bioinformatics, 2015, 卷号: 16, 期号: Suppl 18
作者:
Ning,Kang
;
Bu,Dongbo
;
Su,Xiaoquan
;
Ren,Lihui
;
Gao,Xin
  |  
收藏
  |  
浏览/下载:163/0
  |  
提交时间:2019/08/16
Raman Spectrum
Linear Discriminant Analysis (LDA)
K Nearest Neighbor(k-NN)
Discretization
Learning Regularized LDA by Clustering
期刊论文
OAI收割
ieee transactions on neural networks and learning systems, 2014, 卷号: 25, 期号: 12, 页码: 2191-2201
作者:
Pang, Yanwei
;
Wang, Shuang
;
Yuan, Yuan
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2015/03/19
Dimensionality reduction
face recognition
feature extraction
linear discriminant analysis (LDA)
Infrared face recognition using linear subspace analysis (EI CONFERENCE)
会议论文
OAI收割
MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China
作者:
Wang D.
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2013/03/25
Infrared image offers the main advantage over visible image of being invariant to illumination changes for face recognition. In this paper
based on the introduction of main methods of linear subspace analysis
such as Principal Component Analysis (PCA)
Linear Discriminant Analysis(LDA) and Fast Independent Component Analysis (FastICA)
the application of these methods to the recognition of infrared face images offered by OTCBVS workshop are investigated
and the advantages and disadvantages are compared. Experimental results show that the combination approach of PCA and LDA leads to better classification performance than single PCA approach or LDA approach
while the FastICA approach leads to the best classification performance with the improvement of nearly 5% compared with the combination approach. 2009 Copyright SPIE - The International Society for Optical Engineering.
Head yaw estimation from asymmetry of facial appearance
期刊论文
iSwitch采集
Ieee transactions on systems man and cybernetics part b-cybernetics, 2008, 卷号: 38, 期号: 6, 页码: 1501-1512
作者:
Ma, Bingpeng
;
Shan, Shiguang
;
Chen, Xilin
;
Gao, Wen
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/05/10
Fourier transform
Gabor filters
Head yaw estimation
Linear discriminant analysis (lda)
Nearest centroid (nc) classifier
Head Yaw Estimation From Asymmetry of Facial Appearance
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 卷号: 38, 期号: 6, 页码: 1501-1512
作者:
Ma, Bingpeng
;
Shan, Shiguang
;
Chen, Xilin
;
Gao, Wen
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/12/16
Fourier transform
Gabor filters
head yaw estimation
linear discriminant analysis (LDA)
nearest centroid (NC) classifier
1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?
期刊论文
OAI收割
PATTERN RECOGNITION, 2008, 卷号: 41, 期号: 7, 页码: 2156-2172
作者:
Zheng, Wei-Shi
;
Lai, J. H.
;
Li, Stan Z.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2015/11/08
Fisher's linear discriminant analysis (LDA)
matrix-based representation
vector-based representation
pattern recognition
1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?
期刊论文
OAI收割
PATTERN RECOGNITION, 2008, 卷号: 41, 期号: 7, 页码: 2156-2172
作者:
Zheng, Wei-Shi
;
Lai, J. H.
;
Li, Stan Z.
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2015/11/08
Fisher's linear discriminant analysis (LDA)
matrix-based representation
vector-based representation
pattern recognition