Multiple feature fusion by subspace learning

Keyphrases

• Dimensionality Reduction 100%
• Subspace Learning 100%
• Multi-feature Fusion 100%
• Canonical Correlation 66%
• Feature Fusion 66%
• Concatenated 33%
• Learning Problems 33%
• Unsupervised Learning 33%
• Feature Space 33%
• Linear Subspace 33%
• Image Retrieval 33%
• Multi-feature 33%
• Computational Difficulty 33%
• Canonical Correlation Analysis 33%
• Feature Extracting 33%
• Video Annotation 33%
• Feature Structure 33%
• Supervised Learning 33%
• Discriminative Features 33%
• Multimedia Databases 33%
• High-order Features 33%
• Video Retrieval 33%
• Tensor-based 33%
• Fusion Technique 33%
• Subspace Projection 33%
• Video Indexing 33%
• Data Feature Fusion 33%
• Normalization Projection 33%
• Fused Features 33%
• Visual Data Classification 33%
• Feature Ensemble 33%

Computer Science

• Feature Fusion 100%
• Dimensionality Reduction 60%
• Objective Function 20%
• Unsupervised Learning 20%
• Correlation Analysis 20%
• Feature Space 20%
• Extracted Feature 20%
• Learning Problem 20%
• Annotation 20%
• Supervised Learning 20%
• Discriminative Feature 20%
• Multimedia Data 20%
• Data Classification 20%
• Image Retrieval 20%
• Video Retrieval 20%
• Linear Subspace 20%
• Subspace Projection 20%
• Fusion Technique 20%