EMPATH: face, emotion, and gender recognition using holons
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
SexNet: A neural network identifies sex from human faces
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Making large-scale support vector machine learning practical
Advances in kernel methods
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Gender Classification of Human Faces
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
A Unified Learning Framework for Real Time Face Detection and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Face Recognition with MRC-Boosting
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Boosting sex identification performance
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
LUT-based Adaboost for gender classification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Face localization via hierarchical CONDENSATION with fisher boosting feature selection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Mixture of experts for classification of gender, ethnic origin, and pose of human faces
IEEE Transactions on Neural Networks
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Spatial Gaussian mixture model for gender recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Gender and ethnicity identification from silhouetted face profiles
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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In this paper we propose a novel boosting based classification algorithm, SODA-Boosting (where SODA stands for Second Order Discriminant Analysis). Unlike the conventional AdaBoost based algorithms widely applied in computer vision, SODA-Boosting does not involve time consuming procedures to search a huge feature pool in every iteration during the training stage. Instead, in each iteration SODA-Boosting efficiently computes discriminative weak classifiers in closed-form, based on reasonable hypotheses on the distribution of the weighted training samples. As an application, SODA-Boosting is employed for image based gender recognition. Experimental results on publicly available FERET database are reported. The proposed algorithm achieved accuracy comparable to state-of-the-art approaches, and demonstrated superior performance to relevant boosting based algorithms.