Jensen-Bregman LogDet divergence with application to efficient similarity search for covariance matrices

Keyphrases

• Activity Recognition 20%
• Big Data Analytics 20%
• Bregman 100%
• Computer Vision Applications 40%
• Contemporary Time 20%
• Covariance 60%
• Covariance Matrix 100%
• Diffusion Tensor Imaging 20%
• Dissimilarity Measure 20%
• Distance Computation 20%
• Divergence 20%
• Efficient Similarity Search 100%
• K-means Clustering Algorithm 20%
• LogDet Divergence 100%
• Matrix Dimension 20%
• Metric Tree 20%
• Multi-feature 20%
• Nearest Neighbor Retrieval 40%
• Riemannian Manifold 20%
• Riemannian Metric 20%
• Similarity Function 20%
• Square Root 20%
• Superior Performance 20%
• Theoretical Properties 20%
• Tree Data Structures 20%
• Visual Surveillance 20%

Mathematics

• Clustering Algorithm 33%
• Covariance 100%
• Covariance Matrix 100%
• Data Analytics 33%
• Data Structure 33%
• Function Similarity 33%
• K-Means 33%
• Manifold 66%
• Matrix (Mathematics) 66%
• Nearest Neighbor 66%
• Riemannian Manifolds 33%
• Square Root 33%
• Tensor 33%

Computer Science

• Activity Recognition 33%
• Big Data Analytics 33%
• Computer Vision Applications 66%
• Covariance Matrix 100%
• Data Structure 33%
• Diffusion Tensor 33%
• Dissimilarity Measure 33%
• Information Retrieval 66%
• k-means Clustering 33%
• Similarity Function 33%
• Similarity Search 100%
• Superior Performance 33%
• Visual Surveillance 33%