13.4.1.5 Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant

Yang, J.[Jian], Yang, J.Y.[Jing-Yu],
Why can LDA be performed in PCA transformed space?,
PR(36), No. 2, February 2003, pp. 563-566.
WWW Version. 0211
BibRef

Chen, W.L.[Wei-Long], Er, M.J.[Meng Joo], Wu, S.Q.[Shi-Qian],
PCA and LDA in DCT domain,
PRL(26), No. 15, November 2005, pp. 2474-2482.
WWW Version. 0510
BibRef

Chen, W.L.[Wei-Long], Er, M.J.[Meng Joo], Wu, S.Q.[Shi-Qian],
Illumination Compensation and Normalization for Robust Face Recognition Using Discrete Cosine Transform in Logarithm Domain,
SMC-B(36), No. 2, April 2006, pp. 458-466.
IEEE DOI Link 0604
BibRef
Earlier:
Illumination compensation and normalization using logarithm and discrete cosine transform,
ICARCV04(I: 380-385).
IEEE DOI Link 0412
BibRef

Ye, J.P.[Jie-Ping], Li, Q.[Qi],
LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation,
PR(37), No. 4, April 2004, pp. 851-854.
WWW Version. 0403
BibRef

Ordowski, M.[Mark], Meyer, G.G.L.[Gerard G. L.],
Geometric linear discriminant analysis for pattern recognition,
PR(37), No. 3, March 2004, pp. 421-428.
WWW Version. 0401
BibRef

Chen, S.C.[Song-Can], Li, D.H.[Dao-Hong],
Modified linear discriminant analysis,
PR(38), No. 3, March 2005, pp. 441-443.
WWW Version. 0412
BibRef

Ye, J.P.[Jie-Ping], Li, Q.[Qi],
A two-stage linear discriminant analysis via QR-decomposition,
PAMI(27), No. 6, June 2005, pp. 929-941.
IEEE Abstract. 0506
PCA+LDA BibRef

Tang, E.K., Suganthan, P.N., Yao, X., Qin, A.K.,
Linear dimensionality reduction using relevance weighted LDA,
PR(38), No. 4, April 2005, pp. 485-493.
WWW Version. 0501
BibRef

Qin, A.K., Suganthan, P.N., Loog, M.[Marco],
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion,
PR(38), No. 4, April 2005, pp. 613-616.
WWW Version. 0501
BibRef

Qin, A.K., Suganthan, P.N., Loog, M.,
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction,
PR(39), No. 9, September 2006, pp. 1805-1808.
WWW Version. 0606
Null space of the within-class scatter matrix; Uncorrelated Fisher discriminant analysis; Weighted pairwise Fisher criterion BibRef

Li, M.[Ming], Yuan, B.Z.[Bao-Zong],
2D-LDA: A statistical linear discriminant analysis for image matrix,
PRL(26), No. 5, April 2005, pp. 527-532.
WWW Version. 0501
BibRef

Liang, Y.X.[Yi-Xiong], Gong, W.G.[Wei-Guo], Pan, Y.J.[Ying-Jun], Li, W.H.[Wei-Hong],
Generalizing relevance weighted LDA,
PR(38), No. 11, November 2005, pp. 2217-2219.
WWW Version. 0509
BibRef

Tang, H.[Hong], Fang, T.[Tao], Shi, P.F.[Peng-Fei],
Laplacian linear discriminant analysis,
PR(39), No. 1, January 2006, pp. 136-139.
WWW Version. 0512
See also comment on 'Laplacian linear discriminant analysis', A. BibRef

Tang, H.[Hong], Fang, T.[Tao], Shi, P.F.[Peng-Fei],
Nonlinear discriminant mapping using the Laplacian of a graph,
PR(39), No. 1, January 2006, pp. 156-159.
WWW Version. 0512
BibRef

Xie, J.G.[Ji-Gang], Qiu, Z.D.[Zheng-Ding],
The effect of imbalanced data sets on LDA: A theoretical and empirical analysis,
PR(40), No. 2, February 2007, pp. 557-562.
WWW Version. 0611
Imbalanced data sets; Linear discriminant analysis (LDA); Random sampling; Tomek links; Smote BibRef

Xie, J.G.[Ji-Gang], Qiu, Z.D.[Zheng-Ding], Wu, J.[Jie],
Bootstrap Methods for Reject Rules of Fisher LDA,
ICPR06(III: 425-428).
IEEE DOI Link 0609
BibRef

Nenadic, Z.[Zoran],
Information Discriminant Analysis: Feature Extraction with an Information-Theoretic Objective,
PAMI(29), No. 8, August 2007, pp. 1394-1407.
IEEE DOI Link 0707
Linear transformation into low dimensional space. BibRef

Das, K.[Koel], Nenadic, Z.[Zoran],
Approximate information discriminant analysis: A computationally simple heteroscedastic feature extraction technique,
PR(41), No. 5, May 2008, pp. 1565-1574.
WWW Version. 0711
Feature extraction; Information theory; Mutual information; Entropy; Classification; Linear discriminant analysis; Bayes error BibRef

Tang, F.[Feng], Tao, H.[Hai],
Fast linear discriminant analysis using binary bases,
PRL(28), No. 16, December 2007, pp. 2209-2218.
WWW Version. 0711
BibRef
Earlier: ICPR06(II: 52-55).
IEEE DOI Link 0609
BibRef
Earlier:
Binary Principal Component Analysis,
BMVC06(I:377).
PDF Version. 0609
See also Fast Multi-scale Template Matching Using Binary Features. Linear discriminant analysis; Image representations; Non-orthogonal binary subspace BibRef

Hu, Z.[Zilan],
A comment on 'Laplacian linear discriminant analysis',
PR(41), No. 7, July 2008, pp. 2173.
WWW Version. 0804
See also Laplacian linear discriminant analysis. BibRef

Bian, W.[Wei], Tao, D.C.[Da-Cheng],
Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval,
IP(19), No. 2, February 2010, pp. 545-554.
IEEE DOI Link 1002
BibRef
Earlier:
Harmonic mean for subspace selection,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Bian, W.[Wei], Tao, D.C.[Da-Cheng],
Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction,
PAMI(33), No. 1, January 2011, pp. 1037-1050.
IEEE DOI Link 1104
New criterion for discriminative dimension reduction, max-min distance analysis. BibRef

Zhang, T.H.[Tian-Hao], Tao, D.C.[Da-Cheng], Yang, J.[Jie],
Discriminative Locality Alignment,
ECCV08(I: 725-738).
Springer DOI Link 0810
Discriminative Locality Alignment: DLA -- to address LDA issues. BibRef

Inoue, K.[Kohei], Hara, K.[Kenji], Urahama, K.[Kiichi],
Non-iterative Symmetric Two-Dimensional Linear Discriminant Analysis,
IEICE(E94-D), No. 4, April 2011, pp. 926-929.
WWW Version. 1104
BibRef

Inoue, K.[Kohei], Urahama, K.[Kiichi],
Non-Iterative Two-Dimensional Linear Discriminant Analysis,
ICPR06(II: 540-543).
IEEE DOI Link 0609
BibRef

Nie, X.[Xiushan], Liu, J.[Ju], Sun, J.D.[Jian-De], Liu, W.[Wei],
Robust Video Hashing Based on Double-Layer Embedding,
SPLetters(18), No. 5, May 2011, pp. 307-310.
IEEE DOI Link 1104
video content identification and authentication. Intra-cluster Locally Linear Embedding (LLE) and inter-cluster Multi-Dimensional Scaling (MDS). BibRef

Ma, Z.M.[Zheng-Ming], Chen, J.[Jing], Lian, S.B.[Shuai-Bin],
Constraints on the Neighborhood Size in LLE,
IEICE(E94-D), No. 8, August 2011, pp. 1636-1640.
WWW Version. 1108
BibRef

Álvarez-Meza, A.[Andrés], Valencia-Aguirre, J.[Juliana], Daza-Santacoloma, G.[Genaro], Castellanos-Domínguez, G.[Germán],
Global and local choice of the number of nearest neighbors in locally linear embedding,
PRL(32), No. 16, 1 December 2011, pp. 2171-2177.
Elsevier DOI Link
WWW Version. 1112
BibRef
Earlier: A2, A1, A3, A4:
Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding,
CIARP09(77-84).
Springer DOI Link 0911
Dimensionality reduction; Locally linear embedding; Number of nearest neighbors; Embedding quality BibRef

Zhang, Z.[Zhao], Chow, W.S.,
Tensor Locally Linear Discriminative Analysis,
SPLetters(18), No. 11, November 2011, pp. 643-646.
IEEE DOI Link 1112
Alternative to Local Fisher Discriminant Analysis. BibRef

Prince, S.J.D.[Simon J.D.], Li, P.[Peng], Fu, Y.[Yun], Mohammed, U.[Umar], Elder, J.H.[James H.],
Probabilistic Models for Inference about Identity,
PAMI(34), No. 1, January 2012, pp. 144-157.
IEEE DOI Link 1112
For Face recognition algorithms. Face image generated from data specific to the face, some not. Comparison across different viewing conditions. BibRef

Prince, S.J.D.[Simon J.D.], Elder, J.H.[James H.],
Bayesian Identity Clustering,
CRV10(32-39).
IEEE DOI Link 1005
BibRef
Earlier:
Probabilistic Linear Discriminant Analysis for Inferences About Identity,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Wen, Y.[Ying], Zhou, Z.Y.[Zhen-Yu], Wang, X.H.[Xun-Heng], Zhang, Y.D.[Yu-Dong], Wu, R.H.[Ren-Hua],
An improved locally linear embedding for sparse data sets,
ICIP10(1585-1588).
IEEE DOI Link 1009
BibRef

Yin, J.[Jun], Jin, Z.[Zhong],
A modified NLDA algorithm,
ICIP10(4513-4516).
IEEE DOI Link 1009
BibRef

Durrant, R.J.[Robert J.], Kaban, A.[Ata],
A Bound on the Performance of LDA in Randomly Projected Data Spaces,
ICPR10(4044-4047).
IEEE DOI Link 1008
BibRef

Luo, D.J.[Di-Jun], Huang, H.[Heng], Ding, C.[Chris],
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval,
ICCV11(1443-1448).
IEEE DOI Link 1201
BibRef

Luo, D.J.[Di-Jun], Ding, C.[Chris], Huang, H.[Heng],
Symmetric two dimensional linear discriminant analysis (2DLDA),
CVPR09(2820-2827).
IEEE DOI Link 0906
BibRef

Vamsidhar, A.R., Bora, P.K., Das, S.[Sanjib],
Animation Geometry Compression Using the Linear Discriminant Analysis,
ICCVGIP08(512-519).
IEEE DOI Link 0812
BibRef

Noh, Y.K.[Yung-Kyun], Hamm, J.[Jihun], Lee, D.D.[Daniel D.],
Regularized discriminant analysis for transformation-invariant object recognition,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Goldberg, Y.[Yair], Ritov, Y.[Ya'acov],
LDR-LLE: LLE with Low-Dimensional Neighborhood Representation,
ISVC08(II: 43-54).
Springer DOI Link 0812
local linear embedding BibRef

Philbin, J., Sivic, J., Zisserman, A.,
Geometric LDA: A Generative Model for Particular Object Discovery,
BMVC08(xx-yy).
PDF Version. 0809
BibRef

Ji, S.W.[Shui-Wang], Ye, J.P.[Jie-Ping],
A unified framework for generalized Linear Discriminant Analysis,
CVPR08(1-7).
IEEE DOI Link 0806
BibRef

Kong, H.[Hui], Teoh, E.K.[Eam Khwang], Xu, P.F.[Peng-Fei],
Margin Maximizing Discriminant Analysis for Multi-shot Based Object Recognition,
ISVC06(I: 628-637).
Springer DOI Link 0611
BibRef

Juszczak, P.[Piotr], Tax, D.M.J.[David M.J.], Verzakov, S.[Serguei], Duin, R.P.W.[Robert P.W.],
Domain Based LDA and QDA,
ICPR06(II: 788-791).
IEEE DOI Link 0609
BibRef

Zhu, M.L.[Man-Li], Martinez, A.M.[Aleix M.],
Selecting Principal Components in a Two-Stage LDA Algorithm,
CVPR06(I: 132-137).
IEEE DOI Link 0606
BibRef

Tanigawa, M.[Masashi],
Multi-class object recognition using boosted linear discriminant analysis combined with masking covariance matrix method,
CVS06(33).
IEEE DOI Link 0602
Integrate classifiers on multiple spaces. Face/Non-face classification. BibRef

Keysers, D., Ney, H.,
Linear discriminant analysis and discriminative log-linear modeling,
ICPR04(I: 156-159).
IEEE DOI Link 0409
BibRef

Ünsalan, C.[Cem], Erçil, A.,
Shapes of Features and a Modified Measure for Linear Discriminant Analysis,
ICPR00(Vol II: 410-413).
IEEE DOI Link 0009
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Surveys, Comparisons, Evaluations, Principal Components .