Computer Science
Adaboost Algorithm
35%
Artificial Neural Network
42%
Attention (Machine Learning)
42%
Boosting Algorithms
14%
Class-Incremental Learning
42%
Classification Error
42%
Common Characteristic
28%
Compact Representation
42%
Compression Module
14%
Computational Cost
14%
Computer Vision Technology
21%
Convolutional Neural Network
42%
Drone Surveillance
14%
Evaluation Metric
42%
Experimental Result
53%
Face Verification
71%
Facial Feature
85%
False Positive Rate
14%
Feature Extraction
100%
Feature Selection
100%
Generalization Ability
21%
Grid Computing
42%
Hash Table
17%
Information Language
21%
Learning Algorithm
33%
Long Short-Term Memory Network
42%
Lstm
42%
Magnitude Response
32%
Minimum Cost Spanning Tree
42%
Minimum Spanning Tree
42%
Multilayer Perceptron
42%
Network Structure
21%
Performance Evaluation
64%
Pixel Accuracy
21%
Pixel Classification
14%
Security Inspection
14%
segmentation algorithm
21%
Spanning Tree Algorithm
28%
Stereo Matching
42%
stereo pair
21%
super resolution
42%
Support Vector Machine
35%
Textureless Region
14%
Time Efficiency
21%
Uncontrollable Factor
21%
Validation Module
21%
Wavelet Transforms
14%
Weak Classifier
14%
YOLOv5
42%
Engineering
Area Boundary
10%
Body Motion
8%
Compression Module
42%
Face Image
28%
False Negative
8%
Filtration
28%
Gabor Filter
53%
Gabor Wavelet
42%
Input Image
21%
Local Information
21%
Magnitude Response
85%
Multiscale
21%
Mutual Occlusion
8%
Pixel Accuracy
21%
Positional Information
21%
Quality Standard
21%
Scale Image
42%
Single-Target Tracking
42%
Steel Surface
42%
Surface Defect
21%
