Digital image processing
Machine Learning
Neural networks for pattern recognition
Neural networks for pattern recognition
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Pattern Recognition Letters
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Face detection by fuzzy pattern matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Example Based Learning for View-Based Human Face Detection
Example Based Learning for View-Based Human Face Detection
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Forecasting time series with genetic fuzzy predictor ensemble
IEEE Transactions on Fuzzy Systems
A mixed integer optimisation model for data classification
Computers and Industrial Engineering
Selective SVMs ensemble driven by immune clonal algorithm
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
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This Letter proposes automatic human face detection in digital video using a support vector machine (SVM) ensemble to improve the detection performance. The SVM ensemble consists of several independently trained SVMs using randomly chosen training samples via a bootstrap technique. Next, they are aggregated in order to make a collective decision via a majority voting scheme. Experimental results show that the proposed face detection method using SVM ensemble outperforms conventional methods such as using only single SVM and Multi-Layer Perceptron in terms of classification accuracy, false alarms, and missing rates.