Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2016.483 ◽

2016 ◽

Cited By ~ 1

Author(s):

Fujiao Ju ◽

Yanfeng Sun ◽

Junbin Gao ◽

Simeng Liu ◽

Yongli Hu ◽

...

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

Bilateral Projection ◽

Probabilistic Principal Component Analysis

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Face Hallucination Using Bilateral-Projection-Based Two-Dimensional Principal Component Analysis

2008 International Conference on Computer and Electrical Engineering ◽

10.1109/iccee.2008.99 ◽

2008 ◽

Cited By ~ 1

Author(s):

Parinya Sanguansat

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

Face Hallucination ◽

Bilateral Projection

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Image Quality Measurement by Probabilistic Principal Component Analysis

2020 6th International Symposium on System and Software Reliability (ISSSR) ◽

10.1109/isssr51244.2020.00031 ◽

2020 ◽

Author(s):

Hua-Wen Chang ◽

Kai Chen ◽

Xiao-Dong Bi ◽

Ming-Hui Wang

Keyword(s):

Principal Component Analysis ◽

Image Quality ◽

Quality Measurement ◽

Principal Component ◽

Component Analysis ◽

Probabilistic Principal Component Analysis

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Learning robust manipulation tasks involving contact using trajectory parameterized probabilistic principal component analysis

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9364328 ◽

2020 ◽

Author(s):

Cristian Vergara Perico ◽

Joris de Schutter ◽

Erwin Aertbelien

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Probabilistic Principal Component Analysis

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Incremental two-dimensional two-directional principal component analysis (I(2D)2PCA) for face recognition

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5946776 ◽

2011 ◽

Cited By ~ 11

Author(s):

Yonghwa Choi ◽

Takaomi Tokumoto ◽

Minho Lee ◽

Seiichi Ozawa

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional

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Class-Specific Subspace-Based Two-Dimensional Principal Component Analysis for Face Recognition

18th International Conference on Pattern Recognition (ICPR'06) ◽

10.1109/icpr.2006.366 ◽

2006 ◽

Cited By ~ 4

Author(s):

P. Sanguansat ◽

W. Asdornwised ◽

S. Jitapunkul ◽

S. Marukatat

Keyword(s):

Principal Component Analysis ◽

Face Recognition ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional

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Partial Discharge Recognition Reliability Considering the Influence of Multi-factors Based on the Two-directional Fuzzy-weighted Two-dimensional Principal Component Analysis Algorithm

Electric Power Components and Systems ◽

10.1080/15325008.2015.1115920 ◽

2016 ◽

Vol 44 (4) ◽

pp. 459-470 ◽

Cited By ~ 1

Author(s):

Jinzhong Li ◽

Qiaogen Zhang ◽

Ke Wang ◽

Ruijin Liao

Keyword(s):

Principal Component Analysis ◽

Partial Discharge ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

Analysis Algorithm ◽

Principal Component Analysis Algorithm

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Optimal mean two-dimensional principal component analysis with F-norm minimization

Pattern Recognition ◽

10.1016/j.patcog.2017.03.026 ◽

2017 ◽

Vol 68 ◽

pp. 286-294 ◽

Cited By ~ 14

Author(s):

Qianqian Wang ◽

Quanxue Gao ◽

Xinbo Gao ◽

Feiping Nie

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

Norm Minimization

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Essence of Two-Dimensional Principal Component Analysis

2010 International Conference on Computational Intelligence and Security ◽

10.1109/cis.2010.67 ◽

2010 ◽

Author(s):

Caikou Chen ◽

Jingyu Yangzhou

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional

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Two-dimensional principal component analysis based on Schatten p -norm for image feature extraction

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2015.07.011 ◽

2015 ◽

Vol 32 ◽

pp. 55-62 ◽

Cited By ~ 9

Author(s):

Haishun Du ◽

Qingpu Hu ◽

Manman Jiang ◽

Fan Zhang

Keyword(s):

Principal Component Analysis ◽

Feature Extraction ◽

Principal Component ◽

Component Analysis ◽

Image Feature ◽

Two Dimensional ◽

Image Feature Extraction

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Drying process of microcrystalline cellulose studied by attenuated total reflection IR spectroscopy with two-dimensional correlation spectroscopy and principal component analysis

Journal of Molecular Structure ◽

10.1016/j.molstruc.2006.03.018 ◽

2006 ◽

Vol 799 (1-3) ◽

pp. 102-110 ◽

Cited By ~ 55

Author(s):

Akihiko Watanabe ◽

Shigeaki Morita ◽

Serge Kokot ◽

Mika Matsubara ◽

Katsuhiko Fukai ◽

...

Keyword(s):

Principal Component Analysis ◽

Ir Spectroscopy ◽

Microcrystalline Cellulose ◽

Principal Component ◽

Component Analysis ◽

Total Reflection ◽

Attenuated Total Reflection ◽

Correlation Spectroscopy ◽

Two Dimensional ◽

Drying Process

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