Computer Science
Adaboost Algorithm
41%
Artificial Neural Network
42%
Attention (Machine Learning)
42%
Class-Incremental Learning
42%
Classification Error
42%
Common Characteristic
28%
Compact Representation
42%
Computer Vision Technology
21%
Convergence Rate
28%
Convolutional Neural Network
42%
Decision-Making
28%
Deep Reinforcement Learning
28%
Evaluation Metric
42%
Experimental Result
53%
Face Recognition
48%
Face Verification
77%
Facial Feature
85%
Feature Extraction
100%
Feature Selection
100%
Generalizability
85%
Grid Computing
42%
Information Language
21%
Learning Algorithm
33%
Learning System
48%
Long Short-Term Memory Network
42%
Lstm
42%
Machine Learning
48%
Magnitude Response
32%
Minimum Cost Spanning Tree
42%
Minimum Spanning Tree
42%
multi agent
85%
Multilayer Perceptron
42%
Multiple Agents
28%
Network Structure
21%
Performance Evaluation
64%
Pixel Accuracy
21%
Portfolio Management
28%
Reinforcement Learning
28%
Slow Convergence
28%
Spanning Tree Algorithm
28%
Stereo Matching
42%
Stochastic Policy
57%
super resolution
42%
Support Vector Machine
47%
Time Efficiency
21%
Uncontrollable Factor
21%
Unsupervised Clustering
42%
Validation Module
21%
Wavelet Transforms
26%
YOLOv5
42%
Engineering
Area Boundary
10%
Body Motion
8%
Classification Network
42%
Coating Material
28%
Compression Module
42%
Constrains
7%
Deep Learning Method
14%
Detection Algorithm
14%
Dimensionality
7%
Face Image
28%
False Negative
8%
Feature Extraction
42%
Filtration
28%
Fuel Cell
85%
Gabor Filter
53%
Gabor Wavelet
42%
Hidden Layer
42%
Hydrogen Fuel
42%
Image Recognition
14%
Industrial Product
14%
Industrial Production
14%
Input Image
21%
Local Information
21%
Loss Function
7%
Magnitude Response
85%
Middle Layer
42%
Model Parameter
7%
Model Structure
7%
Multiclass Classification
42%
Multiscale
21%
Mutual Occlusion
8%
One Dimensional
14%
Pixel Accuracy
21%
Point Transmission
14%
Positional Information
21%
Production Line
14%
Quality Standard
21%
Scale Image
42%
Single-Target Tracking
42%
Singular Value Decomposition
7%
State-of-the-Art Method
7%
Steel Surface
42%
Surface Defect
21%
Visual Inspection
42%
