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The application of Gaussian processes in the prediction of percutaneous absorption
(2009-09)
Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ...
Attention mechanisms and component-based face detection.
(IEEE, 2009)
Locating and identifying complex objects in a visual scene is a typical problem within the areas of computer vision and image analysis. One technique to minimise the size of image to be identified is to base the classification ...
Using pre and post-processing methods to improve binding site predictions
(2009)
Currently the best algorithms for transcription factor binding site prediction within sequences of regulatory DNA are severely limited in accuracy. In this paper, we integrate 12 original binding site prediction algorithms, ...
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 ...
Integrating genomic binding site predictions using real-valued meta classifiers
(2009)
Currently the best algorithms for predicting transcription factor binding sites in DNA sequences are severely limited in accuracy. There is good reason to believe that predictions from different classes of algorithms could ...
Adaptive electrical signal post-processing with varying representations in optical communication systems
(2009)
Improving bit error rates in optical communication systems is a difficult and important problem. Error detection and correction must take place at: high speed, and be extremely accurate. Also, different communication ...
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 ...
The performance pf sparsley-connected 2D associative memory models with non-random images
(World Scientific Publishing, 2009)
A sparsely connected associative memory model is built with small-world connectivity, and trained on both random, and real-world image sets. It is found that pattern recall using real-world images can vary significantly ...
Using the support vector machine as a classification method for software defect prediction with static code metrics
(2009)
The automated detection of defective modules within software systems could lead to reduced development costs and more reliable software. In this work the static code metrics for a collection of modules contained within ...