Computer Science
Adversarial Machine Learning
27%
Annotation
31%
Anomaly Detection
11%
Approximation (Algorithm)
11%
Art Performance
10%
Base Classifier
23%
Biometrics
19%
Boolean Combination
15%
Class Imbalance
15%
Classification Accuracy
20%
Classification Performance
14%
Classification Problem
19%
Classification Task
16%
classifier ensemble
24%
Computational Complexity
21%
Computational Cost
17%
Computer Vision
13%
Concept Drift
10%
Contextual Information
11%
Convolutional Neural Network
100%
Data Distribution
18%
Data Stream
10%
Deep Convolutional Neural Networks
14%
Deep Learning Method
44%
Deep Learning Model
27%
Deep Neural Network
23%
Discriminator
10%
document image
13%
Domain Adaptation
34%
Dynamic Ensemble Selection
50%
Ensemble Method
10%
Experimental Result
98%
Expression Recognition
14%
Face Recognition
65%
Facial Expression
25%
Feature Extraction
54%
Feature Map
17%
Feature Selection
28%
Feature Space
13%
Feature Vector
10%
Foundation Model
11%
Gaussian Mixture Model
10%
Genetic Algorithm
16%
Handwriting Recognition
15%
handwritten digit
14%
Handwritten Word Recognition
16%
Image Analysis
13%
Image Classification
22%
image feature
11%
Image Segmentation
68%
Knowledge Distillation
14%
Language Modeling
25%
Leaning Parameter
11%
Learning Algorithm
11%
Learning Approach
18%
Learning System
28%
Machine Learning
27%
Majority Voting
10%
Medical Imaging
14%
Meta-Learning
17%
multi-objective evolutionary algorithm
21%
Multiobjective
11%
Multiple Classifier Systems
27%
Mutual Information
21%
Network Segmentation
24%
Neural Network
38%
Object Detection
14%
Optimization Problem
18%
Particle Swarm Optimization
26%
Pattern Recognition
16%
Person Re-Identification
22%
Process Optimization
10%
Random Decision Forest
12%
Random Walk
11%
Recognition Accuracy
10%
Recognition Problem
18%
Recognition Rate
33%
Recognition System
33%
Regularization
27%
Reidentification
19%
Representation Learning
16%
segmentation accuracy
11%
Segmentation Method
14%
Selection Method
31%
Semisupervised Learning
10%
Signature Verification
77%
Sparse Representation
11%
Sparsity
10%
Superior Performance
11%
Supervised Learning
16%
Support Vector Machine
38%
Training Data
26%
Transfer Learning
17%
Unlabeled Data
17%
Unsupervised Domain Adaptation
16%
Validation Set
12%
Verification System
24%
Video Surveillance
37%
Watermarking
14%
Zero-Shot Learning
14%
Keyphrases
Adaptation
21%
Adaptive Ensemble
12%
Adversarial Attack
16%
Bank Cheques
18%
Base Classifier
18%
Boolean Combination
13%
Capture Condition
14%
Challenging Tasks
14%
Classification Accuracy
21%
Classification Performance
16%
Classification Problem
13%
Classification System
19%
Classifier Combination
21%
Comprehensive Experiment
17%
Computer Vision
11%
Convolutional Neural Network
29%
Deep Convolutional Neural Network (deep CNN)
18%
Deep Learning
19%
Deep Learning Methods
16%
Deep Learning Model
22%
Deep Neural Network
21%
Dissimilarity Representation
14%
Domain Adaptation
20%
Domain Shift
13%
Dynamic Classifier Selection
18%
Dynamic Ensemble Selection
49%
Dynamic Selection
40%
Ensemble Classifier
53%
Experimental Protocol
12%
Face Recognition
18%
Face Recognition System
12%
Facial Model
20%
Feature Extraction
11%
Feature Representation
22%
Feature Selection
19%
Few-shot
17%
Forgery
23%
Genetic Algorithm
11%
Handwriting Recognition
30%
Handwritten numerals
13%
Handwritten Signature
17%
Handwritten Signature Verification
17%
Hidden Markov Model
32%
HMM-based
13%
Image Classification
12%
Image Segmentation
22%
Incremental Learning
25%
Intra-class Variation
13%
K-nearest
14%
Knowledge Distillation
13%
Labeled Data
12%
Lexicon
15%
Loss Function
12%
Machine Learning
14%
Magnetic Resonance Imaging
19%
Medical Image Segmentation
27%
Meta-learning
13%
Multi-objective Genetic Algorithm
16%
Multiple Classifier System
35%
Mutual Information
11%
Neural Network
16%
Non-target
13%
Online Signature Verification
55%
Oracle
18%
Order of Accuracy
18%
Overfitting
15%
Person Re-identification
19%
Popular
22%
Publicly Available
13%
Radiomics
14%
Radiomics Analysis
13%
Random Subspace
12%
Random Walk
11%
Recognition Rate
20%
Recognition System
15%
Segmentation Network
20%
Segmentation Problem
11%
Selection Strategy
54%
Semi-supervised Segmentation
12%
Signature Verification
16%
Source Domain
13%
Spectrogram
11%
State-of-the-art Techniques
21%
Still-to-video Face Recognition
18%
Support Vector Machine
11%
Target Domain
20%
Texture Features
13%
Training Data
25%
Transductive
12%
Transfer Learning
12%
Unlabeled Data
12%
Unsupervised Domain Adaptation
18%
Unsupervised Learning
17%
Verification System
17%
Video Surveillance
29%
Video Surveillance Application
12%
Video-based Face Recognition
34%
Vision-language Models
12%
Word Recognition
14%
Writer-independent
17%