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Fractional discriminative multiview correlation projection for face ...
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2017 International Society of Information Fusion (ISIF). Multiple view data with different feature representations have widely arisen in various practical ...
Fractional generalized multiview discriminative projections ...
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由 YH Yuan 著作2019被引用 3 次 — In this paper, we propose a new multi-view feature extraction method via fractional spectral modeling, namely, fractional generalized multi-view discriminant ...
Hongkun Ji
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Fractional discriminative multiview correlation projection for face feature fusion. ... Correlation Analysis for Multi-Feature Fusion and Recognition. BMVC ...
Fractional Discriminative Multiview Correlation Projection For Face ...
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Fractional Discriminative Multiview Correlation Projection For Face Feature Fusion · Supervised Deep Canonical Correlation Analysis For Multiview Feature ...
Fractional Generalized Multiview Discriminative ...
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In this paper, we propose a new multi-view feature extraction method via fractional spectral modeling, namely, fractional generalized multi-view discriminant ...
Yun-Hao Yuan 0001
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Fractional discriminative multiview correlation projection for face feature fusion. FUSION 2017: 1-5. [c16]. view. electronic edition via DOI; unpaywalled ...
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Fractional discriminative multiview correlation projection for face feature fusion ... Laplacian multiset canonical correlations for multiview feature ...
Multi-graph embedding discriminative correlation feature ...
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由 S Su 著作2018被引用 7 次 — In this paper, we construct multiple graphs for each view by means of a dimensionality partitioning method, and then propose a novel multi-graph embedding ...
Discriminative Deep Canonical Correlation Analysis for Multi- ...
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Fractional discriminative multiview correlation projection for face feature fusion. Yunhao Yuan, Qiang Lv, Yun Li, Bin Li, Hongkun Ji, Xiaobo Shen. 2017, Fusion.
A Deep Discriminant Fractional-order Canonical ...
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This paper presents a feature fusion approach to the recognition of human actions from multiple cameras that avoids the computation of the 3D visual hull.