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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

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Reference TypeJournal (article/letter/editorial)
TitleParameterized principal component analysis
JournalPattern Recognition
AuthorsGupta, AjayAuthor
Barbu, AdrianAuthor
Year2018 (June)Volume78
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.01.018Search in ResearchGate
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Mindat Ref. ID9367348Long-form Identifiermindat:1:5:9367348:6
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Full ReferenceGupta, Ajay, Barbu, Adrian (2018) Parameterized principal component analysis. Pattern Recognition, 78. 215-227 doi:10.1016/j.patcog.2018.01.018
Plain TextGupta, Ajay, Barbu, Adrian (2018) Parameterized principal component analysis. Pattern Recognition, 78. 215-227 doi:10.1016/j.patcog.2018.01.018
In(2018) Pattern Recognition Vol. 78. Elsevier BV

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Tan, Zuoxun; Yang, Hu (2025) Reweighted angle two-dimensional principal component analysis for feature extraction. Pattern Recognition, 168. doi:10.1016/j.patcog.2025.111817
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Kang, Zhao, Liu, Hongfei, Li, Jiangxin, Zhu, Xiaofeng, Tian, Ling (2023) Self-paced principal component analysis. Pattern Recognition, 142. 109692 doi:10.1016/j.patcog.2023.109692
Agrawal, R.K., Karmeshu, (2008) Perturbation scheme for online learning of features: Incremental principal component analysis. Pattern Recognition, 41 (5). 1452-1460 doi:10.1016/j.patcog.2007.10.002
Wang, Nannan, Gao, Xinbo, Li, Jie (2018) Random sampling for fast face sketch synthesis. Pattern Recognition, 76. 215-227 doi:10.1016/j.patcog.2017.11.008
Yi, Shuangyan, Lai, Zhihui, He, Zhenyu, Cheung, Yiu-ming, Liu, Yang (2017) Joint sparse principal component analysis. Pattern Recognition, 61. 524-536 doi:10.1016/j.patcog.2016.08.025
 
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