Computer Science
Experimental Result
100%
Sparse Representation
93%
Face Recognition
81%
image denoising
73%
palmprint
66%
Feature Extraction
56%
Convolutional Neural Network
51%
de-noising
51%
Image Quality Assessment
44%
Dictionary Learning
38%
Sparsity
30%
Training Sample
27%
demosaicking
27%
super resolution
26%
Image Restoration
26%
Image Quality
23%
Regularization
23%
Texture Classification
22%
Pattern Classification
22%
Support Vector Machine
21%
Image Classification
20%
Image Segmentation
20%
Laplace Operator
19%
Feature Selection
19%
Collaborative Representation
19%
Fingerprint Recognition
19%
Visual Quality
18%
image feature
16%
Vessel Segmentation
16%
Fingerprint Image
15%
Feature Space
14%
Tracking Object
14%
Gaussian Mixture Model
14%
Objective Function
14%
Reference Image
13%
Independent Component Analysis
13%
Representation Model
13%
Object Detection
13%
Image Enhancement
13%
Discriminant Analysis
13%
Nuclear Norm
13%
Optical Tracking
13%
Principal Components
12%
Component Analysis
12%
color filter array
12%
Background Subtraction
12%
Assessment Model
12%
Superior Performance
11%
local feature
11%
Deep Neural Network
11%
Keyphrases
Face Recognition
84%
Image Denoising
69%
Sparse Representation
62%
Sparse Representation Classifier
36%
Palmprint
36%
Image Reconstruction
34%
Dictionary
32%
Convolutional Neural Network
29%
Sparse Coding
27%
Palmprint Recognition
26%
Denoising
26%
Palmprint Verification
25%
Dictionary Learning
24%
Pattern Classification
23%
Texture Classification
22%
Training Samples
22%
Feature Extraction
21%
Face Database
21%
State-of-the-art Techniques
20%
Learning Methods
19%
Natural Images
19%
Image Segmentation
19%
Image Quality Assessment
18%
Demosaicking
18%
Color Demosaicking
18%
Benchmark Dataset
18%
Tracker
18%
Principal Coordinate Analysis (PCoA)
17%
Deep Convolutional Neural Network (deep CNN)
17%
Color Filter Array
17%
Collaborative Representation
17%
Local Binary Pattern
16%
Minimum Mean Square Error Estimator
16%
International Cooperative Ataxia Rating Scale (ICARS)
16%
Noisy Image
16%
Wrist Pulse Signal
16%
Super-resolution
16%
Object Detection
16%
Linear Minimum Mean Square Error (LMMSE)
15%
Image Classification
14%
Gabor Filter
14%
Retinal Vessel Segmentation
14%
Popular
14%
Face Image
14%
Feature Selection
14%
Digital Camera
14%
Low Vision
14%
Pulse Signal
13%
Adaptive Thresholding
13%
Healthy Individuals
13%
Engineering
Experimental Result
72%
Similarities
31%
Feature Extraction
31%
Sparsity
30%
Directional
28%
Image Quality Assessment
28%
Gaussians
28%
Joints (Structural Components)
27%
Regularization
24%
Noisy Image
22%
Image Restoration
21%
Sparse Coding
21%
Multiscale
19%
Natural Image
18%
Filtration
15%
High Resolution
15%
Digital Camera
15%
Component Analysis
14%
Laplace Operator
14%
Histogram
14%
State-of-the-Art Method
13%
Independent Component Analysis
13%
Graph Cut
13%
Reference Image
13%
Linear Combination
12%
Error Estimation
12%
Mean Square Error
12%
Level Set
12%
Perceptual Quality
12%
Dimensionality
12%
Local Binary Pattern
12%
Gabor Filter
12%
Principal Components
11%
Color Filter
11%
Least Square
11%
Discrete Time
10%
Color Image
10%
Single Image
10%
Dictionary Learning
10%
Target Tracking
10%
Image Patch
10%
Active Contour
10%
Image Interpolation
9%
Metrics
9%
Tracking (Position)
9%
Recognition Accuracy
9%
Isolation Method
9%
Computervision
9%
Convolutional Neural Network
9%
Wireless Sensor Network
8%