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Park, Sungheon, Kwak, Nojun (2018) Independent component analysis by lp-norm optimization. Pattern Recognition, 76. 752-760 doi:10.1016/j.patcog.2017.10.006

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Reference TypeJournal (article/letter/editorial)
TitleIndependent component analysis by lp-norm optimization
JournalPattern Recognition
AuthorsPark, SungheonAuthor
Kwak, NojunAuthor
Year2018 (April)Volume76
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.10.006Search in ResearchGate
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Mindat Ref. ID9367240Long-form Identifiermindat:1:5:9367240:5
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Full ReferencePark, Sungheon, Kwak, Nojun (2018) Independent component analysis by lp-norm optimization. Pattern Recognition, 76. 752-760 doi:10.1016/j.patcog.2017.10.006
Plain TextPark, Sungheon, Kwak, Nojun (2018) Independent component analysis by lp-norm optimization. Pattern Recognition, 76. 752-760 doi:10.1016/j.patcog.2017.10.006
In(2018) Pattern Recognition Vol. 76. Elsevier BV

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Gupta, Ajay, Barbu, Adrian (2018) Parameterized principal component analysis. Pattern Recognition, 78. 215-227 doi:10.1016/j.patcog.2018.01.018
Lu, Gui-Fu, Zou, Jian, Wang, Yong, Wang, Zhongqun (2016) L1-norm-based principal component analysis with adaptive regularization. Pattern Recognition, 60. 901-907 doi:10.1016/j.patcog.2016.07.014
Forghani, Yahya (2018) Comment on “Joint sparse principal component analysis” by S. Yi et al. (Pattern Recognition, vol. 61, pp. 524–536, 2017). Pattern Recognition, 77. 454-455 doi:10.1016/j.patcog.2017.10.010
Wang, Qianqian, Gao, Quanxue, Gao, Xinbo, Nie, Feiping (2017) Optimal mean two-dimensional principal component analysis with F-norm minimization. Pattern Recognition, 68. 286-294 doi:10.1016/j.patcog.2017.03.026
 
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