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Computer Science
Biometrics
100%
Deep Learning Method
97%
Feature Extraction
72%
Extreme Learning Machine
70%
Liveness
63%
Identity Verification
62%
Machine Learning
59%
Learning System
59%
Authentication
51%
Support Vector Machine
49%
surveillance video
48%
Feature Selection
43%
Artificial Intelligence
40%
Linear Discriminant Analysis
38%
Convolutional Neural Network
37%
Video Sequences
36%
Feature Vector
36%
Deep Learning Model
32%
Face Recognition
31%
Detection Accuracy
31%
Equal Error Rate
29%
Extracted Feature
29%
Data Mining
27%
Recognition System
27%
Ultrasound Image
26%
Entity Recognition
26%
Decision Support System
22%
Acoustic Feature
22%
Correlation Analysis
22%
Human Activity Recognition
22%
Authentication System
22%
Fusion Technique
22%
Facial Expression
21%
Cross-Validation
21%
Classification Accuracy
20%
Image Analysis
20%
Wireless Sensor Network
19%
Multimodal Biometric
19%
Energy Efficient
18%
Application Scenario
18%
Activity Recognition
17%
Performance Evaluation
17%
Wavelet Transform
17%
Watermarking Scheme
16%
U-Net
15%
Speech Recognition
15%
Watermarking
15%
Quality Evaluation
15%
Speaker Verification
15%
Multimedia
15%
Keyphrases
Publicly Available
77%
Multimodal Fusion
63%
Deep Learning Methods
58%
Extreme Learning Machine
57%
Identity Verification
53%
Audio
51%
Surveillance Video
50%
Deep Learning
43%
Gait
43%
Liveness
42%
Recognition-based
40%
Face Recognition
36%
Gait Biometrics
35%
Deep Learning Model
34%
Replay Attack
32%
Biometrics
32%
Classification Accuracy
30%
Machine Learning
28%
Support Vector Machine
28%
Biometric Authentication
26%
Human Identity Recognition
26%
Liveness Verification
25%
Linear Discriminant Analysis
25%
Feature Vector
25%
Systems-based
24%
Lung Ultrasound
23%
Deep Machine Learning
23%
Human Activity Recognition
22%
Decision Support System
22%
Human Identification
22%
Disease Status
22%
Equal Error Rate
22%
Multi-level Fusion
21%
Feature Selection Methods
21%
Speaker Identity
21%
U-Net
21%
Magnetic Resonance Imaging
21%
Facial Expression
21%
Cross-modal
21%
Named Entity Recognition
21%
Machine Learning Models
21%
Video Sequences
20%
Fusion Approach
20%
Random Sample Consensus (RANSAC)
19%
Experimental Validation
19%
Detection Accuracy
19%
Deep Neural Network
19%
Tamper Detection
19%
Audio-Video
19%
Computational Framework
18%
