Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Keywords

Dimensionality reduction, Graph embedding, Mathematics, Data point, Embedding

References

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Cited by

• Locality Preserving Non-negative Basis Learning with Graph EmbeddingYasser Ghanbari, John D. Herrington, Ruben C. Gur — 2013
• Generalized Sparse Regularization with Application to fMRI Brain DecodingBernard Ng, Rafeef Abugharbieh — 2011
• General Subspace Learning With Corrupted Training Data Via Graph EmbeddingJorge Fernández García — 2013
• Méthodes d'apprentissage pour l'estimation de la pose de la tête dans des images monoculaires. (Learning-based head pose estimation in monocular images)Kévin Bailly — 2010
• Connectivity Subnetwork Learning for Pathology and Developmental VariationsYasser Ghanbari, Alex R. Smith, Robert T. Schultz — 2013
• Detecting Corresponding Vertex Pairs between Planar Tessellation Datasets with Agglomerative Hierarchical Cell-Set MatchingSharon D Simpson — 2016
• Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-casesJosé Geraldo da Rocha, Cristina da Conceição Silva, Haydea M. Sant'ana Reis — 2017
• A Perception-Driven Approach to Supervised Dimensionality Reduction for Visualization圭亮 北村, 俊祐 横山, 徹 徳尾野 — 2018
• Flexible Affinity Matrix Learning for Unsupervised and Semisupervised ClassificationPello Añorga, Juan Cruz Iguerabide Sarasola, Antton Kazabon — 2019
• A unified supervised codebook learning framework for classificationCongyan Lang, Songhe Feng, Bing Cheng — 2012
• Semi-supervised Learning by Sparse RepresentationShuicheng Yan, Huan Wang — 2009
• A discrete graph Laplacian for signal processingPanganai Gomo — 2011
• Optimal locality preserving projection for face recognitionYu Chen, Xiaohong Xu, Jianhuang Lai — 2011
• Multifactor analysis for face recognition based on factor-dependent geometryMarios Savvides, Sung Won Park — 2011
• Local Relevance Weighted Maximum Margin Criterion for Text ClassificationQuanquan Gu, Jie Zhou — 2009
• Two-dimensional margin, similarity and variation embeddingQuanxue Gao, Haijun Zhang, Jingjing Liu — 2012
• Discriminative models and dimensionality reduction for regressionKim, Minyoung — 2008
• A Convengent Solution to Tensor Subspace LearningHuan Wang, Shuicheng Yan, Thomas S. Huang — 2007
• Orthogonal discriminant improved local tangent space alignment based feature fusion for face recognitionQiang Zhang, Yunze Cai, Xiao‐Ming Xu — 2013
• Reciprocal Hash Tables for Nearest Neighbor SearchXianglong Liu, Junfeng He, Bo Lang — 2013

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