Computer Science
classification result
100%
Belief Function
77%
Classification Accuracy
62%
Pattern Classification
52%
Target Recognition
51%
Data Classification
38%
Synthetic Aperture Radar
37%
Real Data Sets
36%
Training Data
35%
Experimental Result
34%
Domain Adaptation
33%
Open Set Recognition
33%
Classification Method
29%
Remote Sensing Image
29%
Feature Space
27%
Imbalanced Data
22%
Combination Method
21%
Classification Performance
21%
Decision-Making
20%
Belief Function Theory
19%
c-mean
19%
Clustering Algorithm
18%
Singleton
18%
Clustering Method
17%
Clustered Data
16%
Uncertain Information
15%
Heterogeneous Data
13%
Network Structure
13%
Classification Problem
13%
Information Source
13%
Training Dataset
12%
Tracking (Position)
12%
Learning Framework
12%
Automatic Target Recognition
11%
Representation Learning
11%
multiple classifier
11%
Difference Value
11%
Image Translation
11%
Propagation Algorithm
11%
Image Classification
11%
Classification Rule
11%
Organizing Map
11%
Local Structure
11%
Knowledge Distillation
11%
Combination Rule
10%
multi sensor
10%
Detection Result
10%
Detection Method
10%
Community Detection
9%
Synthetic Aperture Radar Images
9%
Engineering
Classification Accuracy
34%
Target Recognition
30%
Nearest Neighbor
29%
Real Data
29%
Tracking (Position)
27%
Target Tracking
27%
Synthetic Aperture Radar
26%
Experimental Result
25%
Simulation Result
24%
Measurement Noise
20%
Singleton
19%
Radar Target Recognition
18%
Classification Rule
16%
Kalman Filter
15%
Misclassification
13%
Classification Method
13%
Classical Method
12%
Automatic Target Recognition
11%
Limitations
11%
Reinforcement Learning
11%
Similarity
11%
Sensor Network
11%
Self-Organizing Map
11%
Negative Impact
11%
Image Translation
11%
Illustrates
10%
Process Noise
10%
Feature Space
9%
Image Fusion
9%
Decision Level
8%
Classification Performance
8%
Acoustic Feature
8%
Unmanned Aerial Vehicle
8%
Object Recognition
8%
Radar Target
7%
Error Covariance
7%
Fusion Result
7%
Weighting Factor
6%
Classification Task
6%
Image Classification
6%
Closed Form
6%
Fusion Rule
5%
Recursive
5%
Gaussians
5%
Information Source
5%
Convolutional Neural Network
5%
Location Error
5%
Rule Base
5%
Continuous Control
5%
Feature Extraction Network
5%
Mathematics
Belief Function
91%
Nearest Neighbor
26%
Classification Method
24%
Clustering
23%
Clustering Method
22%
Real Data
20%
Matrix (Mathematics)
16%
Classification Rule
16%
Outlier
15%
Missing Value
15%
Evidence Theory
13%
Evidential Reasoning
11%
Oversampling
11%
Computational Cost
11%
Approximates
11%
Numerical Example
10%
Clustering Algorithm
8%
Organizing Map
8%
Probability Theory
7%
Cluster Center
6%
Classification Problem
5%
Eigenvalue
5%
Incomplete Data
5%
Open Set
5%
Estimation Method
5%
Center of Gravity
5%
Numerics
5%
Smoothing Filter
5%
Eigenvector
5%
Weighted Mean
5%
Gaussian Mixture Model
5%
Bayesian
5%
Confidence Set
5%
Median
5%
Community Detection
5%
Dempster-Shafer Evidence Theory
5%
Upper Bound
5%
Dempster-Shafer Theory
5%
