Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval

Keyphrases

• Visual Data 100%
• Data Retrieval 100%
• Data Clustering 100%
• Locally Adaptive 100%
• Subspace Metric 100%
• Similarity Metric Learning 100%
• Adaptive Similarity 100%
• Adaptive Subspace 100%
• Embedded Analysis 100%
• Metric Learning 66%
• Similarity Matching 66%
• Image Analysis 33%
• Learning Spaces 33%
• Real-world Application 33%
• Dimensionality Reduction 33%
• Thinking Styles 33%
• Performance Effectiveness 33%
• Computer Vision 33%
• Learning Algorithm 33%
• Embedding Clustering 33%
• Video Analysis 33%
• Decomposition Problem 33%
• Computer multimedia 33%
• Kd-tree 33%
• Video Retrieval 33%
• Matching Metric 33%
• Conflicting Requirements 33%
• Eigenvalue Decomposition 33%
• Data Clustering Algorithm 33%
• Manifold Structure 33%
• Database Applications 33%
• Low-dimensional Manifolds 33%
• Feature Matching 33%
• Linear Subspace 33%
• Video Indexing 33%
• Tree Partitioning 33%
• Local Similarity 33%
• Feature Representation 33%
• Subspace Embedding 33%
• Matching Accuracy 33%
• Local Affinity 33%
• Graphical Modeling 33%
• Neighbor Affinity 33%
• Local Nearest Neighbour 33%
• Affinity Graph 33%
• Embedded Eigenvalues 33%
• Graph Embedding 33%
• Feature Dimension Reduction 33%
• Global Metrics 33%
• Image Clustering 33%

Computer Science

• Clustered Data 100%
• Information Retrieval 100%
• Dimensionality Reduction 50%
• Multimedia 25%
• World Application 25%
• Feature Space 25%
• Video Retrieval 25%
• Learning Space 25%
• Local Affinity 25%
• Database Application 25%
• Learning Algorithm 25%
• Eigenvalue 25%
• Clustering Algorithm 25%
• Dimensional Manifold 25%
• Linear Subspace 25%
• Partition Tree 25%
• Computer Vision 25%