Search
Now showing items 51-60 of 185
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 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 ...
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
(2009)
Many cerebellar learning theories assume that long-term depression (LTD) of synapses between parallel fibres (PFs) and Purkinje cells (PCs) provides the basis for pattern recognition in the cerebellum. Previous work has ...
Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons
(BioMed Central (BMC), 2009)
The recognition of parallel fibre (PF) input patterns by Purkinje cells has been suggested to underlie cerebellar learning [1,2]. A candidate mechanism for the recognition of PF patterns is the long-term depression (LTD) ...
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
Visual adaptation is the process that allows animals to be able to see over a wide range of light levels. This is achieved partially by lateral inhibition in the retina which compensates for low/high light levels. Neural ...
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images
(2009)
A sparsely connected associative memory model is tested with different pattern sets, and it is found that pattern recall is highly dependent on the type of patterns used. Performance is also found to depend critically on ...
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 ...
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 ...