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Items: 1 to 20 of 117

1.

Penalized classification using Fisher's linear discriminant.

Witten DM, Tibshirani R.

J R Stat Soc Series B Stat Methodol. 2011 Nov;73(5):753-772.

2.

Generalized discriminant analysis: a matrix exponential approach.

Zhang T, Fang B, Tang YY, Shang Z, Xu B.

IEEE Trans Syst Man Cybern B Cybern. 2010 Feb;40(1):186-97. doi: 10.1109/TSMCB.2009.2024759. Epub 2009 Jul 31.

PMID:
19651556
3.

Robust and accurate cancer classification with gene expression profiling.

Li H, Zhang K, Jiang T.

Proc IEEE Comput Syst Bioinform Conf. 2005:310-21.

PMID:
16447988
4.

Complexity-reduced implementations of complete and null-space-based linear discriminant analysis.

Lu GF, Zheng W.

Neural Netw. 2013 Oct;46:165-71. doi: 10.1016/j.neunet.2013.05.010. Epub 2013 May 23.

PMID:
23764874
5.

L1-norm kernel discriminant analysis via Bayes error bound optimization for robust feature extraction.

Zheng W, Lin Z, Wang H.

IEEE Trans Neural Netw Learn Syst. 2014 Apr;25(4):793-805. doi: 10.1109/TNNLS.2013.2281428.

PMID:
24807955
6.

Classification of Bladder Cancer Patients via Penalized Linear Discriminant Analysis

Raeisi Shahraki H, Bemani P, Jalali M.

Asian Pac J Cancer Prev. 2017 May 1;18(5):1453-1457.

7.

On the optimal class representation in linear discriminant analysis.

Iosifidis A, Tefas A, Pitas I.

IEEE Trans Neural Netw Learn Syst. 2013 Sep;24(9):1491-7. doi: 10.1109/TNNLS.2013.2258937.

PMID:
24808587
8.

The application of sparse estimation of covariance matrix to quadratic discriminant analysis.

Sun J, Zhao H.

BMC Bioinformatics. 2015 Feb 18;16:48. doi: 10.1186/s12859-014-0443-6.

9.

Two-dimensional linear discriminant analysis for classification of three-way chemical data.

Silva AC, Soares SF, Insausti M, Galvão RK, Band BS, Araújo MC.

Anal Chim Acta. 2016 Sep 28;938:53-62. doi: 10.1016/j.aca.2016.08.009. Epub 2016 Aug 20.

PMID:
27619086
10.

Discriminative common vectors for face recognition.

Cevikalp H, Neamtu M, Wilkes M, Barkana A.

IEEE Trans Pattern Anal Mach Intell. 2005 Jan;27(1):4-13.

PMID:
15628264
11.

From projection pursuit and CART to adaptive discriminant analysis?

Gribonval R.

IEEE Trans Neural Netw. 2005 May;16(3):522-32.

PMID:
15940983
12.

[Classification of pharmaceutical tablet with canonical variates analysis method in spectra analysis].

Cheng Z, Zhu AS.

Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Mar;29(3):624-8. Chinese.

PMID:
19455787
13.

[Features Interaction Lasso for Liver Disease Classification].

WANG J, LU Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2015 Dec;32(6):1227-32. Chinese.

PMID:
27079092
14.

A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction.

Zhao M, Zhang Z, Chow TW, Li B.

Neural Netw. 2014 Jul;55:83-97. doi: 10.1016/j.neunet.2014.03.005. Epub 2014 Apr 13.

PMID:
24819874
15.

Linear discriminant analysis based on L1-norm maximization.

Zhong F, Zhang J.

IEEE Trans Image Process. 2013 Aug;22(8):3018-27. doi: 10.1109/TIP.2013.2253476. Epub 2013 Mar 20.

PMID:
23529087
16.

The joint graphical lasso for inverse covariance estimation across multiple classes.

Danaher P, Wang P, Witten DM.

J R Stat Soc Series B Stat Methodol. 2014 Mar;76(2):373-397.

17.

Discriminant independent component analysis.

Dhir CS, Lee SY.

IEEE Trans Neural Netw. 2011 Jun;22(6):845-57. doi: 10.1109/TNN.2011.2122266. Epub 2011 Apr 25.

PMID:
21521666
18.

Two-Stage Regularized Linear Discriminant Analysis for 2-D Data.

Zhao J, Shi L, Zhu J.

IEEE Trans Neural Netw Learn Syst. 2015 Aug;26(8):1669-81. doi: 10.1109/TNNLS.2014.2350993. Epub 2014 Sep 5.

PMID:
25204000
19.

Formulating robust linear regression estimation as a one-class LDA criterion: discriminative hat matrix.

Dufrenois F, Noyer JC.

IEEE Trans Neural Netw Learn Syst. 2013 Feb;24(2):262-73. doi: 10.1109/TNNLS.2012.2228229.

PMID:
24808280
20.

Discriminative clustering via extreme learning machine.

Huang G, Liu T, Yang Y, Lin Z, Song S, Wu C.

Neural Netw. 2015 Oct;70:1-8. doi: 10.1016/j.neunet.2015.06.002. Epub 2015 Jun 19.

PMID:
26143036

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