Machine learning for image classification and clustering using a universal distance measure

Keyphrases

• Machine Learning 100%
• Image Classification 100%
• Distance Measure 100%
• Image Distance 100%
• Image Clustering 100%
• Image Analysis 66%
• Feature Vector 66%
• Finite-dimensional 66%
• Feature Extraction Methods 66%
• Image Feature Extraction 66%
• Cluster Analysis 33%
• Finite Sets 33%
• Computing Resources 33%
• Unsupervised Learning 33%
• Distance Parameter 33%
• Supervised Learning 33%
• Image Size 33%
• Learning Experiment 33%
• Satellite Image Data 33%
• Unsupervised Learning Algorithm 33%
• Supervised Learning Algorithms 33%
• Image Cluster 33%
• Category Features 33%
• Multicore Computing 33%

Computer Science

• Machine Learning 100%
• Learning System 100%
• Distance Measure 100%
• Feature Extraction 100%
• Image Classification 100%
• Supervised Learning 66%
• Feature Vector 66%
• Unsupervised Learning 66%
• image feature 66%
• Image Analysis 66%
• Domain Knowledge 33%
• Cluster Analysis 33%
• Learning Algorithm 33%
• Multicore 33%
• Dimensional Vector 33%
• Computing Resource 33%
• Dimensional Feature 33%
• Satellite Image 33%

Engineering

• Learning System 100%
• Feature Extraction 100%
• Image Classification 100%
• Image Distance 100%
• Feature Vector 66%
• Image Analysis 66%
• Isolation Method 66%
• Similarity 33%
• Image Data 33%
• Finite Set 33%
• Learning Algorithm 33%
• Domain Knowledge 33%
• Dimensional Vector 33%
• Learning Experiment 33%
• Distance Value 33%