Data categorization for a context return applied to logical document structure recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Framework for Multi-view Gender Classification
Neural Information Processing
Face Gender Classification on Consumer Images in a Multiethnic Environment
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Spatial Gaussian mixture model for gender recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Gender recognition using a min-max modular support vector machine
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Multi-view gender classification using local binary patterns and support vector machines
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Soft biometric classification using local appearance periocular region features
Pattern Recognition
Face-based multiple instance analysis for smart electronics billboard
Multimedia Tools and Applications
Improving gender recognition using genetic algorithms
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
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A pruning schema is applied to Multi-Layer Perceptron (MLP) gender classifier.MLP uses eigenvector coefficients of the face space created by Principal Component Analysis (PCA). We show that pruning improves the initial MLP performance by preserving the most effective input while eliminating most of the units and connections. Pruning is also used as tool to monitor which eigenvectors contribute to gender estimation. In addition, by usage of FERET face database, we test the PCA approach on gender estimation task in bigger setting than the previous experiments.