Keyphrases
Active Learning
20%
Active Learning Algorithm
20%
Active Learning Approach
20%
Basic Standard
20%
Classifica-tion
20%
Cluster-based
20%
Clustering Results
20%
Color Image
20%
Common Traits
20%
Distance Metric
100%
Ensemble Clustering
100%
Equivalence Class
20%
Euclidean Distance
20%
Expected Utility
20%
Geometric Distance
20%
I. INTRODUCTION
20%
Inter-class Distance
20%
Large Set
40%
Learning Algorithm
40%
Metric Basis
100%
Nearest Neighbor
20%
Nearest Neighbor Classifier
20%
Number of Points
20%
Order of Magnitude
20%
Real Environment
20%
Sampling Methodology
20%
Sampling Methods
20%
Selective Sampling
100%
Supervised Learning Algorithms
20%
Training Data
40%
Training Examples
40%
Computer Science
Active Learning
75%
Clustering Result
25%
Distance Metric
100%
Equivalence Class
25%
Euclidean Distance
25%
Geometric Distance
25%
Labeled Example
75%
Learning Algorithm
100%
Learning Approach
25%
Nearest Neighbors Classifier
25%
Neighbor Classifier
25%
Sampling Technique
25%
Supervised Learning
25%
Training Dataset
50%
Training Example
50%
Unlabeled Example
75%