14.1.3.2 Projection Learning

Chapter Contents (Back)
Projection Learning. Classification. Extract low-dimensional features for classification.

Kokiopoulou, E.[Effrosyni], Saad, Y.[Yousef],
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique,
PAMI(29), No. 12, December 2007, pp. 2143-2156.
IEEE DOI 0711
BibRef

Kokiopoulou, E.[Effrosyni], Saad, Y.[Yousef],
Enhanced graph-based dimensionality reduction with repulsion Laplaceans,
PR(42), No. 11, November 2009, pp. 2392-2402.
Elsevier DOI 0907
Linear dimensionality reduction, Orthogonal projections, Supervised learning, Face recognition, Graph Laplacean BibRef

Tian, Q.[Qing], Chen, S.C.[Song-Can], Ma, T.[Tinghuai],
Ordinal space projection learning via neighbor classes representation,
CVIU(174), 2018, pp. 24-32.
Elsevier DOI 1812
Ordinal metric learning, Ordinal space projection learning, Neighbor class representation, Ordinal relationship BibRef

Duan, L.Y.[Ling-Yu], Wu, Y.W.[Yu-Wei], Huang, Y.C.[Yi-Cheng], Wang, Z.[Zhe], Yuan, J.S.[Jun-Song], Gao, W.[Wen],
Minimizing Reconstruction Bias Hashing via Joint Projection Learning and Quantization,
IP(27), No. 6, June 2018, pp. 3127-3141.
IEEE DOI 1804
Bias hashing, image retrieval, joint optimization, quantization error BibRef

Yi, Y.[Yugen], Wang, J.Z.[Jian-Zhong], Zhou, W.[Wei], Fang, Y.M.[Yu-Ming], Kong, J.[Jun], Lu, Y.H.[Ying-Hua],
Joint graph optimization and projection learning for dimensionality reduction,
PR(92), 2019, pp. 258-273.
Elsevier DOI 1905
Graph optimization, Projection learning, Dimensionality reduction, Robustness BibRef

Yu, Y.F.[Yu-Feng], Ren, C.X.[Chuan-Xian], Jiang, M.[Min], Sun, M.Y.[Man-Yu], Dai, D.Q.[Dao-Qing], Guo, G.D.[Guo-Dong],
Sparse approximation to discriminant projection learning and application to image classification,
PR(96), 2019, pp. 106963.
Elsevier DOI 1909
Image classification, Feature selection, Subspace learning, Discriminant analysis, Dimensionality reduction BibRef

Li, A.[Aoxue], Lu, Z.W.[Zhi-Wu], Guan, J.C.[Jie-Chao], Xiang, T.[Tao], Wang, L.W.[Li-Wei], Wen, J.R.[Ji-Rong],
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning,
IJCV(128), No. 12, December 2020, pp. 2810-2827.
Springer DOI 2010
BibRef

Li, J., Lan, X., Long, Y., Liu, Y., Chen, X., Shao, L., Zheng, N.,
A Joint Label Space for Generalized Zero-Shot Classification,
IP(29), 2020, pp. 5817-5831.
IEEE DOI 2005
Visualization, Semantics, Prototypes, Correlation, Training, Testing, Cats, Projection learning, generalized zero-shot learning, label space BibRef

Meng, M., Lan, M., Yu, J., Wu, J., Tao, D.,
Constrained Discriminative Projection Learning for Image Classification,
IP(29), No. 1, 2020, pp. 186-198.
IEEE DOI 1910
feature extraction, image classification, learning (artificial intelligence), matrix algebra, optimisation, image classification BibRef

Pan, L.[Lei], Li, H.C.[Heng-Chao], Dai, X.[Xiang], Cui, Y.[Ying], Huang, X.F.[Xi-Feng], Dai, L.[Lican],
Latent Low-Rank Projection Learning with Graph Regularization for Feature Extraction of Hyperspectral Images,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, T.[Tao], Long, C.F.[Chen-Feng], Deng, Y.J.[Yang-Jun], Wang, W.Y.[Wei-Ye], Tan, S.Q.[Si-Qiao], Li, H.C.[Heng-Chao],
Low-rank preserving embedding regression for robust image feature extraction,
IET-CV(18), No. 1, 2024, pp. 124-140.
DOI Link 2403
feature extraction, image representation, pattern recognition BibRef

Belous, G.[Gregg], Busch, A.[Andrew], Gao, Y.S.[Yong-Sheng],
Dual subspace discriminative projection learning,
PR(111), 2021, pp. 107581.
Elsevier DOI 2012
Pattern recognition, Feature extraction, Subspace learning, Image classification, Subspace discriminative projection BibRef

Li, L.[Lin], Qu, H.C.[Hong-Chun], Li, Z.[Zhaoni], Zheng, J.[Jian], Guo, F.[Fei],
Discriminative Projection Learning With Adaptive Reversed Graph Embedding for Supervised and Semi-Supervised Dimensionality Reduction,
CirSysVideo(32), No. 12, December 2022, pp. 8688-8702.
IEEE DOI 2212
Feature extraction, Principal component analysis, Data models, Manifolds, Manifold learning, Linear programming, semi-supervised learning BibRef

Su, T.T.[Ting-Ting], Feng, D.[Dazheng], Wang, M.[Meng], Chen, M.[Mohan],
Dual Discriminative Low-Rank Projection Learning for Robust Image Classification,
CirSysVideo(33), No. 12, December 2023, pp. 7708-7722.
IEEE DOI 2312
BibRef

Song, W.L.[Wen-Li], Zhang, L.[Lei], Gao, X.B.[Xin-Bo],
Compound Projection Learning for Bridging Seen and Unseen Objects,
MultMed(25), 2023, pp. 2127-2139.
IEEE DOI 2306
Semantics, Visualization, Training, Compounds, Manifolds, Space exploration, Predictive models, Zero-shot learning, projection learning BibRef


Barlaud, M.[Michel], Chambolle, A.[Antonin], Caillau, J.B.[Jean-Baptiste],
Classification and feature selection using a primal-dual method and projection on structured constraints,
ICPR21(6538-6545)
IEEE DOI 2105
Databases, Feature extraction, Biology, Projection algorithms, Optimization BibRef

Guan, J.[Jiechao], Zhao, A.[An], Lu, Z.W.[Zhi-Wu],
Extreme Reverse Projection Learning for Zero-Shot Recognition,
ACCV18(I:125-141).
Springer DOI 1906
BibRef

Veljkovic, D.[Dragana], Robbins, K.A.[Kay A.], Rubino, D.[Doug], Hatsopoulos, N.G.[Nicholas G.],
Extension of Mutual Subspace Method for Low Dimensional Feature Projection,
ICIP07(II: 449-452).
IEEE DOI 0709
BibRef

Sugiyama, M., Ogawa, H.,
Exact Incremental Projection Learning in the Presence of Noise,
SCIA99(Neural Nets). BibRef 9900

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Unsupervised Feature Selection .


Last update:May 6, 2024 at 15:50:14