Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval

Keyphrases

• Active Learning 100%
• Active Learning Technology 50%
• Content-based Retrieval 50%
• Diverse Sources 50%
• Feedback Technique 50%
• High-level Semantics 50%
• Image Retrieval 100%
• K-graph 100%
• Label Information 50%
• Labeled Data 50%
• Low-level Features 50%
• Manifold Learning Algorithm 50%
• Multimedia Content 100%
• Multimedia Materials 50%
• Number of Users 50%
• Public Dataset 50%
• Ranking Information 50%
• Relevance Feedback 50%
• Retrieval Approach 50%
• Retrieval Effectiveness 50%
• Retrieval Model 50%
• Retrieval Task 100%
• Retrieval Technology 50%
• Semi-supervised Learning 100%
• Semi-supervised Learning Algorithm 50%
• Still Face 50%
• Supervised Approach 50%
• Text-based Retrieval 50%
• Unlabeled Data 50%
• Unsupervised Learning 50%
• User Effort 50%
• User Interaction 50%
• User Intervention 50%
• Visual Content 50%
• Visual Data 50%
• Visual Features 50%
• Visual Information Retrieval 50%

Computer Science

• Active Learning 100%
• Annotation 50%
• Content Based Retrieval 50%
• Experimental Result 50%
• Image Retrieval 100%
• Learning Algorithm 100%
• Learning Technology 50%
• Multimedia Content 100%
• Multimedia Object 50%
• Relevance Feedback 50%
• retrieval model 50%
• Semantic Concept 50%
• Semisupervised Learning 50%
• Supervised Learning 100%
• Unlabeled Data 50%
• User Interaction 50%
• Visual Content 50%
• Visual Feature 50%