Computer Science
Recognition Rate
100%
Face Recognition
96%
face recognition algorithm
83%
Recognition Algorithm
58%
Singular Value
51%
Principal Components
51%
Component Analysis
51%
Wavelet Transforms
40%
Recognition System
35%
Constrained Environment
30%
Social Security
30%
Deep Learning Method
30%
Facial Expression
27%
Support Vector Machine
27%
Machine Learning Approach
18%
Application Area
17%
Data Augmentation
15%
Environmental Variable
15%
Statistical Estimation
15%
Computational Complexity
15%
Pairwise Comparison
15%
Biometrics
15%
Fraud Detection
15%
de-noising
15%
African Country
15%
Anomaly Detection
15%
Discrete Cosine Transform
15%
Text Classification
15%
Neighborhood Structure
15%
Bilateral Symmetry
12%
Image Database
12%
Biometric Data
12%
Human Machine Interface
12%
Access Control
12%
Fast Fourier Transform
12%
Security Systems
12%
Experimental Result
11%
Learning System
11%
Machine Learning
11%
Classification Task
10%
Learning Algorithm
10%
Bayes Classifier
10%
Deep Learning Model
7%
Preprocessing
7%
Research Community
7%
Evaluation Result
7%
Suitable Algorithm
7%
Histogram Equalization
7%
Classification Accuracy
7%
Spatial Structure
6%
Engineering
Face Image
97%
Recognition Rate
48%
Multiple Constraint
35%
Singular Value Decomposition
33%
Principal Components
33%
Component Analysis
33%
Deep Learning Method
25%
Test Image
24%
Solid Waste Management
22%
Numerical Evaluation
22%
Support Vector Machine
20%
Learning System
18%
Regularization
15%
Machine Learning Algorithm
15%
Environmental Variable
15%
Monthly Average
15%
Facial Expression
15%
Test Data
15%
Autoregression Model
15%
Coupling
15%
Artificial Neural Network
15%
Classification
15%
Developing Country
15%
Main Advantage
15%
Spatial Structure
15%
Computational Complexity
10%
Recognition Model
10%
Application Area
9%
Frequency Method
7%
Mean Square Error
7%
Environmental Protection
7%
Pairwise Comparison
7%
Classification Performance
7%
Influencing Factor
7%
Monitoring Program
7%
Joints (Structural Components)
7%
Levenberg-Marquardt Algorithm
7%
Open Area
7%
Bayesian Model
7%
Learning Time
7%
Mean-Squared-Error
7%
Data Series
7%
Artificial Neural Network Model
7%
Living Standard
7%
Component Model
7%
Fit Model
7%
Akaike Information Criterion
7%
Sparsity
7%
Partial Occlusion
7%
Real Life
5%
Mathematics
Yule Process
15%
Probability of Coverage
15%
Pure Death Process
15%
Competing Risk
15%
Graphical Model
15%
Bayesian Network
15%
Birth and Death Process
15%
Classification
15%
Discrete Time
15%
Quantile Regression
15%
Missingness
15%
Statistical Modeling
15%
Bayesian
15%
Markov Chain
15%
Stochastics
15%
Tail Index
15%
Conditionals
15%
Insurance Claim
15%
Probability Theory
12%
Time Markov Chain
10%
Disease Dynamic
10%
Mixture Model
7%
Missing Observation
7%
Missing Value
6%
Time Step
5%
Chain Technique
5%
Wind Speed
5%
Wind Velocity
5%
Bootstrap Sample
5%
Limiting Distribution
5%
Immigration Rate
5%
Intrinsic Growth Rate
5%
Complete Enumeration
5%
Transition Probability
5%
Mean Square Error
5%
