Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
Extended attributed string matching for shape recognition
Computer Vision and Image Understanding
The String-to-String Correction Problem
Journal of the ACM (JACM)
Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Proceedings of the Second International Workshop on Multiple Classifier Systems
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Proceedings of the Third International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Approximate Stroke Sequence String Matching Algorithm for Character Recognition and Analysis
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
An Overview and Comparison of Voting Methods for Pattern Recognition
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence)
Prototype selection for dissimilarity-based classifiers
Pattern Recognition
Fusion of statistical and structural fingerprint classifiers
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Proceedings of the 4th international conference on Multiple classifier systems
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Proceedings of the 4th international conference on Multiple classifier systems
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Proceedings of the 6th international conference on Multiple Classifier Systems
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Proceedings of the 6th international conference on Multiple Classifier Systems
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Graph-Based multiple classifier systems a data level fusion approach
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
| Hi-index | 0.00 |
Multiple classifier systems are a well proven and tested instrument for enhancing the recognition accuracy in statistical pattern recognition problems. However, there has been reported only little work on combining classifiers in structural pattern recognition. In this paper we describe a method for embedding strings into real vector spaces based on prototype selection, in order to gain several vectorial descriptions of the string data. We present methods for combining multiple classifiers trained on various vectorial data representations. As base classifiers we use nearest neighbor methods and support vector machine. In our experiments we demonstrate that this approach can be used to significantly improve the classification accuracy of string patterns.