Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval

Computer Science

• Supervised Clustering 100%
• Side Information 100%
• Content-based image retrieval 100%
• Experimental Result 66%
• Distance Metric 33%
• Learning Algorithm 33%
• Semisupervised Learning 33%
• Supervised Learning 33%
• Unsupervised Learning 33%
• Image Retrieval 33%
• Image Retrieval System 33%
• Clustering Result 33%
• Simulated World 33%
• Image Database 33%
• Clustering Task 33%
• Adaptation Process 33%
• retrieval performance 33%
• Background Knowledge 33%
• Pairwise Similarity 33%
• Classification Task 33%
• Nonparametric Method 33%

Keyphrases

• Semi-supervised Clustering 100%
• Cluster-based 100%
• Metric Adaptation 100%
• Content-based Image Retrieval 100%
• Label Information 20%
• Class Label 20%
• Real Image 10%
• Nonparametric Methods 10%
• Semi-supervised Learning 10%
• Metric Learning 10%
• Distance Metric 10%
• Image Retrieval 10%
• Result-oriented 10%
• Clustering Results 10%
• Image Database 10%
• Clustering Task 10%
• Retrieval Practice 10%
• Classification Task 10%
• Pairwise Similarity 10%
• Content-based Image Retrieval System 10%
• Unsupervised Learning Algorithm 10%
• Adaptation Process 10%
• Parametric Method 10%
• Long-range Effect 10%
• Supervised Learning Algorithms 10%
• Locally Adaptive 10%
• Pairwise Dissimilarity 10%
• Global Metrics 10%
• Metric Basis 10%
• Adaptive Challenges 10%
• Background Knowledge 10%
• Adaptive Metric 10%