Joint Tensor Feature Analysis for Visual Object Recognition

Keyphrases

• Feature Analysis 100%
• Visual Object Recognition 100%
• Tensor Features 100%
• Feature Extraction 33%
• Scattering Matrix 33%
• Jointly Sparse 33%
• Feature Extraction Methods 16%
• Feature Recognition 16%
• Convergence Analysis 16%
• Object Recognition 16%
• Computational Complexity Analysis 16%
• Optimization Techniques 16%
• Singular Value Decomposition 16%
• Feature Selection Methods 16%
• Tensor-based 16%
• Sparse Projection 16%
• Sparsity Constraint 16%
• Mode Optimization 16%
• K-modes 16%
• Sparse Regression 16%
• Matrix Decomposition 16%
• Tensor Data 16%
• Eigendecomposition 16%
• L2,1-norm 16%
• Singular Value Matrix 16%
• Joint Feature Selection 16%

Engineering

• Feature Extraction 100%
• Joints (Structural Components) 100%
• Object Recognition 100%
• Scatter Matrix 40%
• Experimental Result 20%
• Convergent 20%
• Selection Algorithm 20%
• Eigen Decomposition 20%
• Singular Value Decomposition 20%
• Optimization Technique 20%
• Sparsity 20%
• Computational Complexity 20%
• Singular Value 20%