Support Vector Machines with Embedded Reject Option
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Experiments with Classifier Combining Rules
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
On Combining Dissimilarity Representations
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Post-processing of Classifier Outputs in Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Undesirable effects of output normalization in multiple classifier systems
Pattern Recognition Letters
Confidence Evaluation for Combining Diverse Classifiers
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Reliability estimation of a statistical classifier
Pattern Recognition Letters
Use of Structured Pattern Representations for Combining Classifiers
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Classifier combination based on confidence transformation
Pattern Recognition
Face verification with a kernel fusion method
Pattern Recognition Letters
Texture classification through combination of sequential colour texture classifiers
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Combination of kernels applied to face verification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
An experimental study of one- and two-level classifier fusion for different sample sizes
Pattern Recognition Letters
Ensemble confidence estimates posterior probability
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Supervised scale-invariant segmentation (and detection)
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Scale selection for supervised image segmentation
Image and Vision Computing
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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