*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

IEEE DOI

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