INIS
learning
100%
images
93%
humans
72%
data
70%
devices
70%
environment
53%
datasets
51%
vision
46%
applications
42%
detection
39%
performance
37%
investigations
35%
evaluation
35%
authentication
31%
boreholes
31%
simulation
31%
rocks
31%
disturbances
31%
minerals
31%
glass
31%
lenses
31%
particle size
31%
distribution
31%
biometrics
31%
particles
31%
neural networks
31%
fractures
31%
alignment
31%
dynamics
31%
texture
31%
monitoring
31%
distance
28%
noise
26%
computers
26%
paper industry
20%
equations
19%
outdoors
18%
indoors
18%
randomness
16%
clothing
15%
slurries
15%
levels
14%
solutions
13%
comparative evaluations
11%
tools
11%
perturbations
11%
accelerometers
10%
equipment
10%
people
10%
navigation
10%
Keyphrases
Deep Learning Methods
62%
Computer Vision
62%
Gait
40%
Neural Network
36%
Monitoring System
31%
Human Emotions
31%
Local Features
31%
Swipe Gestures
31%
Continuous Authentication
31%
Gesture-based
31%
Paper Industry
31%
Gait Recognition
31%
Face Recognition
31%
Slurry
31%
Smartphone
31%
Aspheric Glass Lens
31%
Digital Simulation
31%
Video Feed
31%
Texture-based Method
31%
Dynamic Texture
31%
Vision AI
31%
Process Disturbances
31%
Context Effects
31%
Wavefront
31%
Particle Size Distribution
31%
Disturbance Monitoring
31%
Baseline Evaluation
31%
Semantic Segmentation
31%
Instance Segmentation
31%
Mineral Rocks
31%
Learning Process
31%
Borehole Image
31%
Fracture Characterization
31%
Fracture Detection
31%
Shearlets
31%
Human Activity Recognition
31%
Spoofing Attack
31%
Gait Biometrics
31%
Simulation Environment
31%
Alignment Process
31%
Real-life Samples
31%
Device Association
31%
Audio Signature
31%
Mobile Devices
31%
Face Database
26%
Two-state
21%
Target Image
21%
Local Binary Pattern
20%
Optical Components
20%
Application Interface
20%
