Laplacian regularized low-rank representation and its applications

Keyphrases

• Laplacian 100%
• Low-rank Representation 100%
• Nonlinear Geometry 22%
• Learning Process 11%
• Dimensionality Reduction 11%
• Computer Vision 11%
• Signal Processing 11%
• Data Representation 11%
• Representation Model 11%
• Pattern Recognition 11%
• Vision Processing 11%
• Low-dimensional Subspace 11%
• Low-dimensional Manifolds 11%
• Representation Method 11%
• Subspace Structure 11%
• Geometric Information 11%
• Hyper-Laplacian 11%
• Low-dimensional Structures 11%
• Ambient Space 11%
• Laplacian Regularizer 11%
• Graph Laplacian 11%
• Graph Regularizer 11%
• Semi-supervised Classification 11%
• Representation Framework 11%
• Geometric Structure 11%
• Sparse Error 11%
• Similarity Information 11%
• Locality Information 11%
• Image Clustering 11%

Mathematics

• Laplace Operator 100%
• Nonlinear 50%
• Real-World Data 25%
• Dimensional Manifold 25%
• Ambient Space 25%
• Geometric Structure 25%
• Hypergraphs 25%
• Clustering 25%
• Dimensionality Reduction 25%
• Observed Data 25%
• Dimensional Subspace 25%
• Great Deal 25%
• Dimensional Structure 25%
• Signal Processing 25%
• Pattern Recognition 25%

Computer Science

• Low-Rank Representation 100%
• Laplace Operator 100%
• Learning Process 11%
• Dimensionality Reduction 11%
• Image Classification 11%
• Representation Model 11%
• Representation Method 11%
• Geometric Information 11%
• Experimental Result 11%
• Data Representation 11%
• Dimensional Subspace 11%
• Dimensional Manifold 11%
• Dimensional Structure 11%
• Pattern Recognition 11%
• Computer Vision 11%