Classification and clustering via dictionary learning with structured incoherence and shared features

Keyphrases

• Dictionary 100%
• Dictionary Learning 100%
• Sparse Coding 100%
• Shared Features 100%
• Incoherence 100%
• Learned Dictionary 66%
• Excellent Performance 33%
• Low-dimensional Subspace 33%
• K-means 33%
• Learning Environment 33%
• Spectral Clustering 33%
• Centroid 33%
• Sparse Representation 33%
• Regularization Term 33%
• Low Quality Data 33%
• Eigendecomposition 33%
• Supervised Classification 33%
• 1 Regularization 33%
• Unsupervised Classification 33%
• Unsupervised Setting 33%
• Decomposition Problem 33%
• Clustering Framework 33%
• Sparse Modeling 33%
• Dictionary Atom 33%
• Fully Unsupervised Clustering 33%
• Classification via Clustering 33%
• Sparse Dictionary 33%
• Image Dataset 33%
• Novelty Measurement 33%
• Dataset Images 33%
• Speech Dataset 33%
• Texture Image 33%
• Modeling Learning 33%

Computer Science

• Dictionary Learning 100%
• Sparse Representation 50%
• Regularization Term 50%
• Dimensional Subspace 50%
• Supervised Classification 50%
• Spectral Clustering 50%
• Dimensional Data 50%
• Unsupervised Clustering 50%