Keyphrases
Adaptive Ensemble
13%
Bank Cheques
19%
Base Classifier
18%
Boolean Combination
16%
Classification Accuracy
14%
Classification Problem
12%
Classification System
21%
Classifier Combination
23%
Dissimilarity Representation
17%
Dynamic Classifier Selection
20%
Dynamic Ensemble Selection
52%
Dynamic Selection
44%
Ensemble Classifier
60%
Ensemble Selection
12%
Error Rate
14%
Face Recognition
15%
Facial Model
20%
Feature Selection
21%
Forgery
27%
Fuzzy ARTMAP
12%
Genetic Algorithm
12%
Genuine Signature
12%
Handwriting Recognition
33%
Handwritten Digit Recognition
13%
Handwritten numerals
16%
Handwritten Signature
19%
Handwritten Signature Verification
19%
Hidden Markov Model
41%
HMM-based
18%
Incremental Learning
27%
Intelligent Watermarking
13%
K-nearest
14%
Lexicon
19%
Multi-objective Genetic Algorithm
17%
Multiple Classifier System
37%
Offline Signature Verification System
14%
Online Signature Verification
75%
Oracle
17%
Proposed Strategy
12%
Recognition Rate
22%
Recognition System
18%
Selection Strategy
54%
Signature Verification
23%
Skilled Forgery
15%
Training Data
14%
Verification System
22%
Video Surveillance
22%
Video-based Face Recognition
23%
Word Recognition
16%
Writer-independent
20%
Computer Science
Base Classifier
23%
Biometrics
17%
Boolean Combination
17%
Character Recognition
9%
Class Imbalance
10%
Classification Accuracy
13%
Classification Problem
16%
classifier ensemble
26%
Classifier System
12%
Computational Complexity
9%
Computational Cost
9%
Contextual Information
10%
Data Stream
9%
Dynamic Ensemble Selection
52%
Experimental Result
49%
Face Recognition
43%
Feature Extraction
47%
Feature Selection
29%
Feature Space
11%
Genetic Algorithm
15%
Handwriting Recognition
17%
handwritten digit
18%
Handwritten Word Recognition
19%
Majority Voting
11%
Meta-Learning
10%
Multi-Classifiers
11%
multi-objective evolutionary algorithm
23%
Multi-Objective Optimization
11%
Multiobjective
13%
multiple classifier
9%
Multiple Classifier Systems
26%
Neural Network
32%
Optimization Problem
13%
Particle Swarm Optimization
27%
Pattern Recognition
18%
Recognition Problem
17%
Recognition Process
9%
Recognition Rate
35%
Recognition System
31%
Recognizer
10%
Reference Sample
9%
Selection Method
29%
Signature Verification
100%
Support Vector Machine
29%
Systems Performance
10%
Training Data
20%
Validation Set
9%
Verification System
32%
Video Surveillance
22%
Watermarking
16%
