SexNet: A neural network identifies sex from human faces
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Support vector machines applied to face recognition
Proceedings of the 1998 conference on Advances in neural information processing systems II
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Feature Selection via Concave Minimization and Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning to Identify and Track Faces in Image Sequences
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Gender and Ethnic Classification of Face Images
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Appearance-based gender classification with Gaussian processes
Pattern Recognition Letters
An experimental comparison of gender classification methods
Pattern Recognition Letters
Fusing gait and face cues for human gender recognition
Neurocomputing
A Pruning Approach Improving Face Identification Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
3D face reconstruction under imperfect tracking circumstances using shape model constraints
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Feature selection for efficient gender classification
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
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A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select the most important features and maximize the classification margin, in a manner similar to support vector machines. An efficient process for directly calculating the complete set of optimal, sparse classifiers is developed. A single classification hyper-plane which maximizes posterior probability of describing training data is then efficiently selected. The classifier is tested on a Japanese gender-divided ensemble, described via a collection of appearance models. Performance is comparable with a linear SVM, and allows effective manipulation of apparent gender.