A theory of classifier combination: the neural network approach

@article{Lee1995ATO,
  title={A theory of classifier combination: the neural network approach},
  author={Dar-Shyang Lee and S. Srihari},
  journal={Proceedings of 3rd International Conference on Document Analysis and Recognition},
  year={1995},
  volume={1},
  pages={42-45 vol.1}
}
  • Dar-Shyang Lee, S. Srihari
  • Published 1995
  • Computer Science
  • Proceedings of 3rd International Conference on Document Analysis and Recognition
The paper examines the general classifier combination problem under strict separation of the classifier and combinator design. Several desirable combinator properties are identified: omnitype mixed type and correlated classifier combination, redundant classifier elimination, model complexity control, and dynamic selection combination. By adapting some of the theories and algorithms developed for neural network learning. They present a combination model which provides a solution to these… Expand
83 Citations

Figures, Tables, and Topics from this paper

A serial combination of connectionist-based classifiers for OCR
  • 15
  • PDF
A systematic approach to classifier selection on combining multiple classifiers for handwritten digit recognition
  • 23
A Normative Examination of Ensemble Learning Algorithms
  • 14
  • PDF
Using Bayesian Network for combining classifiers
  • 3
Review of Classifier Combination Methods
  • 178
  • Highly Influenced
  • PDF
A comparative study of combination schemes for an ensemble of digit recognition neural networks
  • S. Wesolkowski, K. Hassanein
  • Computer Science
  • 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation
  • 1997
  • 12
Classifier combination based on confidence transformation
  • C. Liu
  • Mathematics, Computer Science
  • Pattern Recognit.
  • 2005
  • 123
A PSO-based weighting method for linear combination of neural networks
  • 47
An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers
  • 25
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 132 REFERENCES
Efficient Parallel Learning Algorithms for Neural Networks
  • 169
  • PDF
Decision Combination in Multiple Classifier Systems
  • 1,633
  • PDF
An information criterion for optimal neural network selection
  • D. Fogel
  • Computer Science, Medicine
  • IEEE Trans. Neural Networks
  • 1991
  • 143
Regression approach to combination of decisions by multiple character recognition algorithms
  • 21
  • PDF
Introduction to the theory of neural computation
  • 6,132
Optimal Brain Damage
  • 2,913
  • PDF
Fundamentals of neural networks: architectures, algorithms, and applications
  • 2,299
On multiple classifier systems for pattern recognition
  • T. Ho, J. Hull, S. Srihari
  • Mathematics, Computer Science
  • Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems
  • 1992
  • 68
  • PDF
Dimensionality Reduction and Prior Knowledge in E-Set Recognition
  • 38
  • PDF
...
1
2
3
4
5
...