Engineering
Models
100%
Images
90%
Dataset
69%
Optimization
57%
Algorithm
53%
Estimation
51%
Maps
44%
Energy Engineering
35%
Anisotropic
31%
Computervision
28%
Light Field
28%
Conductivity Tensor
26%
Joints (Structural Components)
23%
Application
21%
Objective Function
21%
Obtains
21%
Performance
20%
Motion Field
18%
Immune Cell
18%
Cost Function
18%
Layer Depth
18%
TV
18%
Optimal Control
18%
Hybrid
18%
Chain
18%
Fiber
18%
Step Size α
18%
Quantum State
18%
Scene Point
16%
Combines
15%
Optimization Method
15%
Subaperture
14%
Integration
14%
Parks
14%
Raw Image
12%
Acceleration Factor
12%
Process Flow
12%
Heisenberg Box
12%
Interpolation Filter
12%
Fiber Direction
11%
Line Search
10%
Mapping
10%
Imaged Scene
9%
Covariance Analysis
9%
Morphologic Feature
9%
Large Network
9%
Graphics Processing Unit
9%
Desired Target
9%
Range Space
9%
Misclassification
9%
Computer Science
Algorithms
53%
Convolutional Neural Network
46%
de-noising
45%
Computation
37%
Morphing Image
37%
Conditional Random Field
37%
Backtracking
37%
Gradient Method
29%
Gaussian Mixture
22%
Convex Optimization
21%
Procedures
20%
Multiplicative Noise
18%
Continuous Optimization
18%
Received Interest
18%
Reconstruction Process
18%
Motion Estimation
18%
Belief Propagation
18%
Trained Network
18%
Statistics
18%
Image Restoration
18%
Image Inpainting
18%
Convolutional Network
18%
Computer Vision
18%
Generative Adversarial Networks
18%
Markov Random Fields
18%
Neural Network Application
18%
Prediction Time
18%
New-State
18%
Use Case
18%
Optical Flow Estimation
18%
Demosaicing
18%
Self-Supervised Learning
18%
Industrial Setting
18%
Depth Estimation
18%
Benchmark
18%
Variational Approach
18%
Deep Feature
18%
Geodesics
18%
Density Estimate
18%
Image Segmentation
18%
Multiple Reference Frame
18%
Semantic Feature
18%
Statistics Domain
18%
Random Variable
15%
image denoising
13%
Discrete Optimization
12%
Attack
12%
Fiducial Marker
12%
Segmentation Approach
12%
Spline Approximation
12%
Mathematics
Variations
65%
Discretization
53%
Approximation
31%
Convolutional Neural Network
28%
Extrapolation
28%
Order
21%
Parameter
21%
Optimal Stopping Time
18%
Scalar Function
18%
Residuals
18%
Integrated Particle
18%
Finite Element Method
18%
Reaction-Diffusion System
18%
Training Dataset
18%
Training Procedure
18%
Geometry
18%
Duality Principle
18%
Quasi-Newton Method
18%
Thresholding
18%
Variational Method
18%
Variational Structure
18%
Interaction
18%
Projection
18%
Mathematical Analysis
18%
Total Order
18%
Geodesic Path
18%
Bayesian
18%
Refines
18%
Step Size
18%
Statistics
18%
Class
15%
Upper Bound
15%
Minimizing
15%
Pixel
15%
Numerical Experiment
14%
Term
14%
Parametric
14%
Continuous Time Model
12%
Nonconvex Problem
10%
Inertial Step
10%
Second-Order Conditioning
9%
Riemannian Distance
9%
Square Integrable Function
9%
Fluid Motion
9%
Matching
9%
Incompressibility
9%
Variables
9%
Field Data
9%
Nonlinear
9%
Approximates
9%
