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Analysis of Linear and Nonlinear dimensionality Reduction Methods for Gender Classification of Face Images
(2005-11)
Data in many real world applications are high dimensional and learning algorithms like neural networks may have problems in handling high dimensional data. However, the Intrinsic Dimension is often much less than the ...
Global and Feature Based Gender Classification of Faces: A Comparison of Human Performance and Computational Models
(2005)
Most computational models for gender classification use global information (the full face image) giving equal weight to the whole face area irrespective of the importance of the internal features. Here, we use a global and ...