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Relevant bibliographies by topics / Linear discriminant analysis / Journal articles

Journal articles on the topic 'Linear discriminant analysis'

To see the other types of publications on this topic, follow the link: Linear discriminant analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Hino, Hideitsu, and Jun Fujiki. "ADHERENTLY PENALIZED LINEAR DISCRIMINANT ANALYSIS." Journal of the Japanese Society of Computational Statistics 28, no. 1 (2015): 125–37. http://dx.doi.org/10.5183/jjscs.1412001_219.

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2

Zhu, Fa, Junbin Gao, Jian Yang, and Ning Ye. "Neighborhood linear discriminant analysis." Pattern Recognition 123 (March 2022): 108422. http://dx.doi.org/10.1016/j.patcog.2021.108422.

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3

Yahaya, Sharipah Soaad Syed, Yai-Fung Lim, Hazlina Ali, and Zurni Omar. "Robust Linear Discriminant Analysis." Journal of Mathematics and Statistics 12, no. 4 (April 1, 2016): 312–16. http://dx.doi.org/10.3844/jmssp.2016.312.316.

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4

Hu, Wei, Weining Shen, Hua Zhou, and Dehan Kong. "Matrix Linear Discriminant Analysis." Technometrics 62, no. 2 (June 26, 2019): 196–205. http://dx.doi.org/10.1080/00401706.2019.1610069.

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5

Na, Jin Hee, Myoung Soo Park, and Jin Young Choi. "Linear boundary discriminant analysis." Pattern Recognition 43, no. 3 (March 2010): 929–36. http://dx.doi.org/10.1016/j.patcog.2009.09.015.

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6

Chen, Songcan, and Daohong Li. "Modified linear discriminant analysis." Pattern Recognition 38, no. 3 (March 2005): 441–43. http://dx.doi.org/10.1016/j.patcog.2004.08.008.

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7

Tang, Hong, Tao Fang, and Peng-Fei Shi. "Laplacian linear discriminant analysis." Pattern Recognition 39, no. 1 (January 2006): 136–39. http://dx.doi.org/10.1016/j.patcog.2005.06.016.

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8

Zhao, Jianhua, Philip L. H. Yu, Lei Shi, and Shulan Li. "Separable linear discriminant analysis." Computational Statistics & Data Analysis 56, no. 12 (December 2012): 4290–300. http://dx.doi.org/10.1016/j.csda.2012.04.003.

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9

Cai, Wei, Guoyu Guan, Rui Pan, Xuening Zhu, and Hansheng Wang. "Network linear discriminant analysis." Computational Statistics & Data Analysis 117 (January 2018): 32–44. http://dx.doi.org/10.1016/j.csda.2017.07.007.

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10

Han, Na, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, Shengli Xie, and Xuelong Li. "Transferable Linear Discriminant Analysis." IEEE Transactions on Neural Networks and Learning Systems 31, no. 12 (December 2020): 5630–38. http://dx.doi.org/10.1109/tnnls.2020.2966746.

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11

Chen, X. H., S. C. Chen, and H. Xue. "Universum linear discriminant analysis." Electronics Letters 48, no. 22 (2012): 1407. http://dx.doi.org/10.1049/el.2012.2506.

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12

Simarmata, Justin Eduardo. "Object Classification with Classical Linear Discriminant Analysis and Robust Linear Discriminant Analysis." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (May 31, 2018): 84–91. http://dx.doi.org/10.22214/ijraset.2018.5012.

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13

HU, Di, Xuelong LI, and Feiping NIE. "Deep linear discriminant analysis hashing." SCIENTIA SINICA Informationis 51, no. 2 (February 1, 2021): 279. http://dx.doi.org/10.1360/ssi-2019-0175.

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14

LIU, Zhong-bao, and Shi-tong WANG. "Improved linear discriminant analysis method." Journal of Computer Applications 31, no. 1 (March 23, 2011): 250–53. http://dx.doi.org/10.3724/sp.j.1087.2011.00250.

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15

Bahraini, Tahereh, Seyed Mohammad Hosseini, Mahbubeh Ghasempour, and Hadi Sadoghi Yazdi. "Density-oriented linear discriminant analysis." Expert Systems with Applications 187 (January 2022): 115946. http://dx.doi.org/10.1016/j.eswa.2021.115946.

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16

Zhao, Hongwei. "Local Topological Linear Discriminant Analysis." Journal of Information and Computational Science 10, no. 18 (December 10, 2013): 5858–66. http://dx.doi.org/10.12733/jics20102255.

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17

Yamashita, Toshie. "ROBUSTNESS OF LINEAR DISCRIMINANT ANALYSIS." JOURNAL OF THE JAPAN STATISTICAL SOCIETY 28, no. 1 (1998): 69–88. http://dx.doi.org/10.14490/jjss1995.28.69.

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18

Molnar, Laszlo D. "LOGLINDI: Log-Linear Discriminant Analysis." American Statistician 45, no. 4 (November 1991): 339. http://dx.doi.org/10.2307/2684467.

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19

Chu, Delin, Li-Zhi Liao, and Michael K. Ng. "Sparse Orthogonal Linear Discriminant Analysis." SIAM Journal on Scientific Computing 34, no. 5 (January 2012): A2421—A2443. http://dx.doi.org/10.1137/110851377.

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20

Liu, Yi‐Hsin, and John Maloney. "Discriminant analysis and linear programming." International Journal of Mathematical Education in Science and Technology 28, no. 2 (March 1997): 207–10. http://dx.doi.org/10.1080/0020739970280204.

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21

Li, Yanfang, and Jing Lei. "Sparse subspace linear discriminant analysis." Statistics 52, no. 4 (June 26, 2018): 782–800. http://dx.doi.org/10.1080/02331888.2018.1469020.

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22

Wen, Jie, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, and Yong Xu. "Robust Sparse Linear Discriminant Analysis." IEEE Transactions on Circuits and Systems for Video Technology 29, no. 2 (February 2019): 390–403. http://dx.doi.org/10.1109/tcsvt.2018.2799214.

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23

Zheng, Shuai, Chris Ding, Feiping Nie, and Heng Huang. "Harmonic Mean Linear Discriminant Analysis." IEEE Transactions on Knowledge and Data Engineering 31, no. 8 (August 1, 2019): 1520–31. http://dx.doi.org/10.1109/tkde.2018.2861858.

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24

Ching, Wai-Ki, Delin Chu, Li-Zhi Liao, and Xiaoyan Wang. "Regularized orthogonal linear discriminant analysis." Pattern Recognition 45, no. 7 (July 2012): 2719–32. http://dx.doi.org/10.1016/j.patcog.2012.01.007.

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25

Yang, Wuyi, and Houyuan Wu. "Regularized complete linear discriminant analysis." Neurocomputing 137 (August 2014): 185–91. http://dx.doi.org/10.1016/j.neucom.2013.08.048.

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26

Chen, Lu-Hung, and Ci-Ren Jiang. "Sensible functional linear discriminant analysis." Computational Statistics & Data Analysis 126 (October 2018): 39–52. http://dx.doi.org/10.1016/j.csda.2018.04.005.

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27

Montanari, Angela. "Linear Discriminant Analysis and Transvariation." Journal of Classification 21, no. 1 (March 2004): 71–88. http://dx.doi.org/10.1007/s00357-004-0006-z.

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28

Allahyar, Amin, and Hadi Sadoghi Yazdi. "Artificial Immune Linear Discriminant Analysis." International Journal of Artificial Intelligence and Applications for Smart Devices 1, no. 1 (November 30, 2013): 65–82. http://dx.doi.org/10.14257/ijaiasd.2013.1.1.05.

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29

Seungil Huh and Donghun Lee. "Linear Discriminant Analysis for Signatures." IEEE Transactions on Neural Networks 21, no. 12 (December 2010): 1990–96. http://dx.doi.org/10.1109/tnn.2010.2090047.

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30

Nie, Feiping, Zheng Wang, Rong Wang, Zhen Wang, and Xuelong Li. "Adaptive Local Linear Discriminant Analysis." ACM Transactions on Knowledge Discovery from Data 14, no. 1 (February 4, 2020): 1–19. http://dx.doi.org/10.1145/3369870.

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31

Fung, Wing K. "Diagnostics in Linear Discriminant Analysis." Journal of the American Statistical Association 90, no. 431 (September 1995): 952–56. http://dx.doi.org/10.1080/01621459.1995.10476595.

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32

Hawkins, Douglas M., and Geoffrey J. McLachlan. "High-Breakdown Linear Discriminant Analysis." Journal of the American Statistical Association 92, no. 437 (March 1997): 136–43. http://dx.doi.org/10.1080/01621459.1997.10473610.

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33

Casin, Philippe. "Categorical multiblock linear discriminant analysis." Journal of Applied Statistics 45, no. 8 (September 5, 2017): 1396–409. http://dx.doi.org/10.1080/02664763.2017.1371678.

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34

Liu, Zhonghua, Gang Liu, Jiexin Pu, Xiaohong Wang, and Haijun Wang. "Orthogonal sparse linear discriminant analysis." International Journal of Systems Science 49, no. 4 (January 18, 2018): 848–58. http://dx.doi.org/10.1080/00207721.2018.1424964.

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35

Toher, Deirdre, Gerard Downey, and Thomas Brendan Murphy. "Semi-supervised linear discriminant analysis." Journal of Chemometrics 25, no. 12 (November 10, 2011): 621–30. http://dx.doi.org/10.1002/cem.1408.

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36

Wu, W., Y. Mallet, B. Walczak, W. Penninckx, D. L. Massart, S. Heuerding, and F. Erni. "Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data." Analytica Chimica Acta 329, no. 3 (August 1996): 257–65. http://dx.doi.org/10.1016/0003-2670(96)00142-0.

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37

Lv, Hao, Wenjie Xu, Juan You, and Shanbai Xiong. "Classification of freshwater fish species by linear discriminant analysis based on near infrared reflectance spectroscopy." Journal of Near Infrared Spectroscopy 25, no. 1 (February 2017): 54–62. http://dx.doi.org/10.1177/0967033516678801.

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Abstract:

Near infrared reflectance spectroscopy was used to discriminate different species of freshwater fish samples. Samples from seven freshwater fish species of the family Cyprinidae (black carp ( Mylopharyngodon piceus), grass carp ( Ctenopharyngodon idellus), silver carp ( Hypophthalmichthys molitrix), bighead carp ( Aristichthys nobilis), common carp ( Cyprinus carpio), crucian ( Carassius auratus), and bream ( Parabramis pekinensis)) were scanned by near infrared reflectance spectroscopy from 1000 nm to 1799 nm. Linear discriminant analysis models were built for the classification of species. We inspected the effect of partial least square, principal component analysis, competitive adaptive reweighted sampling, and fast Fourier transform on linear discriminant analysis. The results showed that the dimension reduction methods worked very well for this example. Linear discriminant analysis models which were combined with principal component analysis and fast Fourier transform could classify accurately all the samples under multiplicative scatter correction pre-processing. According to the loadings in principal component analysis, spectra wavelengths 1000, 1001, 1154, 1208, 1284, 1288, 1497, 1665, and 1770 nm were selected as effective wavelengths in linear discriminant analysis. The discriminant analysis was simplified by using effective wavelengths as independent variables in a linear discriminant analysis model. This study indicated that linear discriminant analysis combined with near infrared reflectance spectroscopy could be an effective strategy for the classification of freshwater fish species.

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38

Busbey, Arthur Bresnahan. "Linear Discriminant Analysis on a Spreadsheet." Journal of Geological Education 37, no. 3 (May 1989): 161–67. http://dx.doi.org/10.5408/0022-1368-37.3.161.

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39

Zollanvari, Amin, and Berdakh Abibullaev. "Bias correction for linear discriminant analysis." Pattern Recognition Letters 151 (November 2021): 41–47. http://dx.doi.org/10.1016/j.patrec.2021.07.026.

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40

Tharwat, Alaa, Tarek Gaber, Abdelhameed Ibrahim, and Aboul Ella Hassanien. "Linear discriminant analysis: A detailed tutorial." AI Communications 30, no. 2 (May 24, 2017): 169–90. http://dx.doi.org/10.3233/aic-170729.

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41

Dorvlo, Atsu S. S. "Component reduction in linear discriminant analysis." Journal of Statistical Computation and Simulation 71, no. 4 (December 2001): 335–44. http://dx.doi.org/10.1080/00949650108812152.

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42

Hu, Peng, Dezhong Peng, Yongsheng Sang, and Yong Xiang. "Multi-View Linear Discriminant Analysis Network." IEEE Transactions on Image Processing 28, no. 11 (November 2019): 5352–65. http://dx.doi.org/10.1109/tip.2019.2913511.

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43

Gochet, Willy, Antonie Stam, V. Srinivasan, and Shaoxiang Chen. "Multigroup Discriminant Analysis Using Linear Programming." Operations Research 45, no. 2 (April 1997): 213–25. http://dx.doi.org/10.1287/opre.45.2.213.

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44

Hamsici, O. C., and A. M. Martinez. "Bayes Optimality in Linear Discriminant Analysis." IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 4 (April 2008): 647–57. http://dx.doi.org/10.1109/tpami.2007.70717.

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45

Koehler, Gary J., and S. Selcuk Erenguc. "Minimizing Misclassifications in Linear Discriminant Analysis*." Decision Sciences 21, no. 1 (January 1990): 63–85. http://dx.doi.org/10.1111/j.1540-5915.1990.tb00317.x.

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46

Shao, Guowan, and Nong Sang. "Regularized max-min linear discriminant analysis." Pattern Recognition 66 (June 2017): 353–63. http://dx.doi.org/10.1016/j.patcog.2016.12.030.

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47

Lei, Zhen, and Stan Z. Li. "Contextual constraints based linear discriminant analysis." Pattern Recognition Letters 32, no. 4 (March 2011): 626–32. http://dx.doi.org/10.1016/j.patrec.2010.12.001.

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48

Ji, Ai-bing, Ye Ji, and Yanhua Qiao. "DEA-Based Piecewise Linear Discriminant Analysis." Computational Economics 51, no. 4 (December 7, 2016): 809–20. http://dx.doi.org/10.1007/s10614-016-9642-8.

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49

van Meegen, Carmen, Sarah Schnackenberg, and Uwe Ligges. "Unequal Priors in Linear Discriminant Analysis." Journal of Classification 37, no. 3 (July 24, 2019): 598–615. http://dx.doi.org/10.1007/s00357-019-09336-2.

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50

王, 馨彤. "Linear Discriminant Analysis for Functional Data." Operations Research and Fuzziology 09, no. 02 (2019): 156–64. http://dx.doi.org/10.12677/orf.2019.92018.

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