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Representation and classification of facial expression in a modular computational model
(World Scientific Publishing, 2009)
Recognizing expressions is a key part of human social interaction; Processing of facial expression information is largely automatic in humans, but it is a non-trivial task for a computational system. The purpose of this ...
Recognizing Facial Expressions : A Comparison of Computational Approaches
(2008)
Recognizing facial expressions are a key part of human social interaction,and processing of facial expression information is largely automatic, but it is a non-trivial task for a computational system. The purpose of this ...
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 ...
Comparing computational and human measures of visual similarity
(World Scientific Publishing, 2005)
There have been many attempts to quantify visual similarity within different categories of objects, with a view to using such measures to predict impaired recognition performance. Although many studies have linked measures ...
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 ...
Self-Organising Map Representations Of Greyscale Images Reflect Human Similarity Judgements
(Institute of Electrical and Electronics Engineers (IEEE), 2004)
In this study we assessed a Kohonen network's ability to represent visual similarity between grayscale pictures and whether these representations were associated with human ratings af perceived similarity. We trained a ...