An Overview of Classifier Fusion Methods
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Summary
An overview of classifier fusion methods is given and attempts to identify new trends that may dominate this area of research in future.
- Type
- article
- Published
- 2000-02-01
- Cited by
- 429
- References
- 19
- Access
- Open access
- OpenAlex
- https://openalex.org/W1538372379
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11413967
Keywords
Computer science, Correctness, Classifier (UML), Sensor fusion, Artificial intelligence
References
- Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
- Fuzzy sets, uncertainty and information
- Pattern recognition
- Advances in fuzzy integration for pattern recognition
- Combining diverse neural nets
- Fusion of handwritten word classifiers
- Information fusion in computer vision using the fuzzy integral
- Decision Combination in Multiple Classifier Systems
- SMEM Algorithm for Mixture Models
- On combining multiple classifiers by fuzzy templates
- A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals
- Two nonparametric models for fusing heterogeneous fuzzy data
- Use of fuzzy-logic-inspired features to improve bacterial recognition through classifier fusion
- Combining multiple neural networks by fuzzy integral for robust classification
- Methods of combining multiple classifiers and their applications to handwriting recognition
- Combination of multiple classifiers using local accuracy estimates
- Hierarchical Mixtures of Experts and the EM Algorithm
- Combination of multiple classifiers using local accuracy estimates
- Hierarchical Mixtures of Experts and the EM Algorithm
Cited by
- Robust Expert Systems for more Flexible Real-World Activity Recognition
- Reconnaissance des formes dans un environnement dynamique appliquée au diagnostic et au suivi des systèmes évolutifs. (Pattern recognition in a dynamic environment applied to the diagnosis and monitoring of evolving systems)
- Graphics Recognition using Spatial Relations and Shape Analysis
- Classification of valence using facial expressions of TV-viewers
- Physically inspired methods and development of data-driven predictive systems
- Feature and Decision Fusion based Facial Recognition in Challenging Environment
- Distributed Combined Authentication and Intrusion Detection in High-Security Mobile Ad Hoc Networks to reduce the computation complexity
- Accurate Target Identification Using Multi-look Fusion of Low Quality Target Signatures
- Combining Multiple Techniques for Intrusion Detection
- Hidden Markov models for anomaly detection and fault diagnosis
- Utilizing Diversity and Performance Measures for Ensemble Creation
- Combat Identification of Synthetic Aperture Radar Images Using Contextual Features and Bayesian Belief Networks
- Agrégation de classifieurs et d'experts pour la recherche d'homologues chez les cytokines à quatre hélices alpha
- Minimization of DDoS false alarm rate in Network Security; Refining fusion through correlation
- Forecast combination in revenue management demand forecasting
- Building well-performing classifier ensembles : model and decision level combination
- Collaborative Knowledge Fusion by Ad-Hoc Information Distribution in Crowds
- Mining and Integration of Structured and Unstructured Electronic Clinical Data for Dementia Detection
- A classifier fusion method based on classifier accuracy
- Unsupervised Fusion Weight Learning in Multiple Classifier Systems
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