On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating classifier outputs of fixed accuracy and diversity
Pattern Recognition Letters
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Sum Versus Vote Fusion in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
StrCombo: combination of string recognizers
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
On the relationship between majority vote accuracy and dependency in multiple classifier systems
Pattern Recognition Letters
Diffuse-Specular Separation and Depth Recovery from Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Ensembles of Learning Machines
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
A Combination Scheme for Fuzzy Clustering
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Analysis of a Fusion Method for Combining Marginal Classifiers
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Multiple Classifier Combination Methodologies for Different Output Levels
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Finding Consistent Clusters in Data Partitions
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Error Rejection in Linearly Combined Multiple Classifiers
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
A Robust Multiple Classifier System for a Partially Unsupervised Updating of Land-Cover Maps
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Relationship of Sum and Vote Fusion Strategies
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
New Measure of Classifier Dependency in Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Classifier Combinations: Implementations and Theoretical Issues
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Performance Analysis and Comparison of Linear Combiners for Classifier Fusion
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Tumor cell identification using features rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Performance analysis of pattern classifier combination by plurality voting
Pattern Recognition Letters
A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Detection of land-cover transitions by combining multidate classifiers
Pattern Recognition Letters - Special issue: Pattern recognition for remote sensing (PRRS 2002)
IEEE Transactions on Knowledge and Data Engineering
Theoretical Bounds of Majority Voting Performance for a Binary Classification Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hybrid OCR combination approach complemented by a specialized ICR applied on ancient documents
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An evidential approach in ensembles
Proceedings of the 2006 ACM symposium on Applied computing
Classification by ensembles from random partitions of high-dimensional data
Computational Statistics & Data Analysis
Dual Antenna Receivers for High Data Rate Terminals
Wireless Personal Communications: An International Journal
Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Artificial Intelligence in Medicine
Pairwise vs global multi-class wrapper feature selection
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Increasing soft classification accuracy through the use of an ensemble of classifiers
International Journal of Remote Sensing
The combination of multiple classifiers using an evidential reasoning approach
Artificial Intelligence
One Lead ECG Based Personal Identification with Feature Subspace Ensembles
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Majority voting combination of multiple case-based reasoning for financial distress prediction
Expert Systems with Applications: An International Journal
Analysis of a Plurality Voting-based Combination of Classifiers
Neural Processing Letters
A model-free ensemble method for class prediction with application to biomedical decision making
Artificial Intelligence in Medicine
Particle swarm optimization based multi-prototype ensembles
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Optical character recognition of Gurmukhi script using multiple classifiers
Proceedings of the International Workshop on Multilingual OCR
A pixel-based digital photo authentication framework via demosaicking inter-pixel correlation
Proceedings of the 11th ACM workshop on Multimedia and security
Is bagging effective in the classification of small-sample genomic and proteomic data?
EURASIP Journal on Bioinformatics and Systems Biology - Special issue on applications of signal procesing techniques to bioinformatics, genomics, and proteomics
Minimizing the Limitations of GL Analyser of Fusion Based Email Classification
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
Repairing concavities in ROC curves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A new pyramid-based color image representation for visual localization
Image and Vision Computing
Indexing ICD-9 codes for free-textual clinical diagnosis records by a new ensemble classifier
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion
Engineering Applications of Artificial Intelligence
Score normalization in multimodal biometric systems
Pattern Recognition
Feature subspace ensembles: a parallel classifier combination scheme using feature selection
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
On the diversity-performance relationship for majority voting in classifier ensembles
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Hierarchical behavior knowledge space
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A framework for the analysis of majority voting
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Linear combiners for classifier fusion: some theoretical and experimental results
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Combination methodologies of multi-agent hyper surface classifiers: design and implementation issues
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Multiple classifier fusion using k-nearest localized templates
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
When to choose an ensemble classifier model for data mining
International Journal of Business Intelligence and Data Mining
Confidence partition and hybrid fusion in multimodal biometric verification system
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Bagging based plankton image classification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Using ensemble classifier for small bowel ulcer detection in wireless capsule endoscopy images
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Information theoretic combination of pattern classifiers
Pattern Recognition
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Multi-agent based collaborative fault detection and identification in chemical processes
Engineering Applications of Artificial Intelligence
A PSO-based weighting method for linear combination of neural networks
Computers and Electrical Engineering
An effective intrusion detection method using optimal hybrid model of classifiers
Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
Studies on hyperspectral face recognition in visible spectrum with feature band selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Handwritten digits recognition improved by multiresolution classifier fusion
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A generalization of majority voting scheme for medical image detectors
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Sample subset optimization for classifying imbalanced biological data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
High performance classifiers combination for handwritten digit recognition
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Hybrid OCR combination for ancient documents
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Symmetries from uniform space covering in stochastic discrimination
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
CompLife'06 Proceedings of the Second international conference on Computational Life Sciences
Combination of multiple nearest neighbor classifiers based on feature subset clustering method
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Color-Based classification of natural rock images using classifier combinations
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Using decision tree models and diversity measures in the selection of ensemble classification models
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
A classification approach to multi-biometric score fusion
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Markov chains pattern recognition approach applied to the medical diagnosis tasks
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Selective voting in convex-hull ensembles improves classification accuracy
Artificial Intelligence in Medicine
Ensemble prediction of commercial bank failure through diversification of input features
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Multi-variate quickest detection of significant change process
GameSec'11 Proceedings of the Second international conference on Decision and Game Theory for Security
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Generalized weighted majority voting with an application to algorithms having spatial output
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
A random forest system combination approach for error detection in digital dictionaries
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Improving BCI performance after classification
Proceedings of the 14th ACM international conference on Multimodal interaction
How large should ensembles of classifiers be?
Pattern Recognition
The use of artificial-intelligence-based ensembles for intrusion detection: a review
Applied Computational Intelligence and Soft Computing
Information Sciences: an International Journal
Serial fusion of random subspace ensemble for subcellular phenotype images classification
International Journal of Bioinformatics Research and Applications
Subpopulation-specific confidence designation for more informative biomedical classification
Artificial Intelligence in Medicine
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles
Machine Vision and Applications
Random subspace support vector machine ensemble for reliable face recognition
International Journal of Biometrics
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It has been demonstrated that combining the decisions of several classifiers can lead to better recognition results. The combination can be implemented using a variety of strategies, among which majority vote is by far the simplest, and yet it has been found to be just as effective as more complicated schemes in improving the recognition results. This paper examines the mode of operation of the majority vote method in order to gain a deeper understanding of how and why it works, so that a more solid basis can be provided for its future applications to different data and/or domains. In the course of our research, we have analyzed this method from its foundations and obtained many new and original results regarding its behavior. Particular attention has been directed toward the changes in the correct and error rates when classifiers are added, and conditions are derived under which their addition/elimination would be valid for the specific objectives of the application. At the same time, our theoretical findings are compared against experimental results, and these results do reflect the trends predicted by the theoretical considerations