Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction
DOI10.1016/j.ins.2021.02.006zbMath1527.68256OpenAlexW3129710776MaRDI QIDQ6064461
Xueyu Chen, Tianming Zhan, Guo-Wei Yang, Huiting Zhou, Minghua Wan, Chao Xu
Publication date: 9 November 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.006
feature extractionfuzzy set theoryelastic net regression2D discriminant local preserving projections (2DDLPP)fuzzy k-nearest neighbours (FKNN)
Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)
Related Items (2)
Cites Work
- Unnamed Item
- Two-dimensional Laplacianfaces method for face recognition
- Two-dimensional discriminant transform for face recognition
- Multigranulation rough-fuzzy clustering based on shadowed sets
- Target redirected regression with dynamic neighborhood structure
- Dual robust regression for pattern classification
- Constrained three-way approximations of fuzzy sets: from the perspective of minimal distance
- Click Prediction for Web Image Reranking Using Multimodal Sparse Coding
- Enhancing Low-Rank Subspace Clustering by Manifold Regularization
- Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings
- Regularization and Variable Selection Via the Elastic Net
This page was built for publication: Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction
