Training connectionist networks with queries and selective sampling
Advances in neural information processing systems 2
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Information-based objective functions for active data selection
Neural Computation
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semi-supervised support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Query Learning with Large Margin Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Learning and example selection for object and pattern detection
Learning and example selection for object and pattern detection
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Exact simplification of support vector solutions
The Journal of Machine Learning Research
Robust Real-Time Face Detection
International Journal of Computer Vision
A Probabilistic Active Support Vector Learning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Choice of Active Learning Algorithms
The Journal of Machine Learning Research
Convergence and Application of Online Active Sampling Using Orthogonal Pillar Vectors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training ν-Support Vector Classifiers: Theory and Algorithms
Neural Computation
Topographic Independent Component Analysis
Neural Computation
Expand training set for face detection by GA re-sampling
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Fast rotation invariant multi-view face detection based on real adaboost
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Using support vector machine for characteristics prediction of hydraulic valve
International Journal of Computer Applications in Technology
Ensemble learning for generalised eigenvalues proximal support vector machines
International Journal of Computer Applications in Technology
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Face recognition is one of the most active biometric traits. Sample-based face detection is an active research topic in this area. It is of great interest to enhance the performance of the current face detection methods. In this paper, we propose new algorithms of sample selection and active samples generation to solve the problem of imbalanced training samples in the face detection task. Experimental results show that our proposed approaches enhance the performance of face detection, and the accuracy gain of the proposed approaches is significant when the available training samples are imbalanced or insufficient.