Search
Now showing items 1-10 of 23
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 ...
Discriminating angry, happy and neutral facial expression : a comparison of computational models
(Springer Nature, 2009)
Recognizing expressions are a key part of human social interaction, and processing of facial expression information is largely automatic for humans, but it is a non-trivial task for a computational system. The purpose of ...
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 ...
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 ...
High Performance Associative Memories and Structured Weight Dilution
(Springer Nature, 2004)
The consequences of two techniques for symmetrically diluting the weights of the standard Hopfield architecture associative memory model, trained using a non-Hebbian learning rule, are examined. This paper reports experimental ...