Keyphrases
Facial Expression
62%
Support Vector Machine
48%
Feature Extraction
42%
Emotion Recognition
39%
Paddy Growth Stage
37%
Facial Expression Recognition
37%
Generative Adversarial Networks
36%
Training Data
32%
Active Appearance Model
32%
Facial Components
31%
Semivariogram
28%
Human Emotions
27%
Facial Expression Dataset
24%
Human Emotion Recognition
23%
Sinkhorn Divergence
22%
Feature Classification
22%
Online Learning
21%
Basic Emotions
21%
Fuzzy Emotion
20%
Indonesian
20%
Generalized Matrix Learning Vector Quantization (GMLVQ)
18%
Particle Filter
18%
Feature Extraction Methods
18%
Stage Classification
18%
Integrated Features
18%
Ontology
18%
Automatic Emotion Recognition
18%
Gaussian Weight
18%
Conditional Random Fields
18%
Stacked Denoising Autoencoder
18%
Older Adults
18%
Emotion Dataset
18%
Mixed Emotions
18%
Stochastic Gradient Descent
16%
Classification Accuracy
16%
Computation Time
16%
Facial Features
15%
Arrhythmia
15%
Student Engagement
15%
Preprocessing Techniques
14%
Classification Methods
14%
Extreme Learning Machine
14%
Principal Component Regression
14%
Robust Principal Component Analysis
14%
Automatic Facial Expression Recognition
14%
Electrocardiogram Signal
14%
Learning Process
14%
Convolutional Neural Network Model
14%
Ordinary Kriging
13%
Accuracy Rate
13%
Computer Science
Facial Expression
100%
Support Vector Machine
65%
Feature Extraction
57%
Expression Recognition
37%
active appearance model
36%
Extreme Learning Machine
33%
Machine Learning
33%
Learning System
31%
Convolutional Neural Network
29%
Component Analysis
23%
Principal Components
22%
Electronic Learning
21%
Representation Learning
19%
Vector Quantization
18%
Ontology
18%
Classification Stage
18%
Generative Adversarial Networks
18%
Conditional Random Field
18%
Remote Sensing Image
18%
Denoising Autoencoder
18%
Training Data
18%
Neural Network Model
15%
Facial Feature
14%
Preprocessing Stage
14%
Radial Basis Function
14%
Deep Learning Method
14%
Image Enhancement
14%
Temporal Resolution
14%
Approximation (Algorithm)
12%
Inference System
12%
Classification Accuracy
11%
Multimedia Content
11%
Data Representation
11%
Classification Method
11%
Deep Neural Network
10%
Kappa Coefficient
10%
Experimental Result
9%
Bayesian Networks
9%
Probabilistic Reasoning
9%
Online Media
9%
Least Squares Method
9%
human action recognition
9%
Shape Modeling
9%
Procrustes Analysis
9%
Incremental Approach
9%
Discriminator
9%
Resolution Image
9%
Execution Model
9%
Elementary Row Operation
9%
Simulation Environment
9%
