Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Lanitis, A."
Now showing items 1-6 of 6
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Article
Automatic Landmark Location for Analysis of Cardiac MRI Images
Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2012)This paper addresses the problem of automatic location of landmarks used for the analysis of MRI cardiac images. Typically the landmarks of shapes in MRI images are located manually which is a time consuming process requiring ...
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Comparing Different Classifiers for Automatic Age Estimation
Lanitis, A.; Draganova, C.; Christodoulou, Chris C. (2004)We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used ...
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Article
Isolating stock prices variation with neural networks
Draganova, C.; Lanitis, A.; Christodoulou, Chris C. (2009)In this study we aim to define a mapping function that relates the general index value among a set of shares to the prices of individual shares. In more general terms this is problem of defining the relationship between ...
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Article
Neural network methods for one-to-many multi-valued mapping problems
Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2011)An investigation of the applicability of neural network-based methods in predicting the values of multiple parameters, given the value of a single parameter within a particular problem domain is presented. In this context, ...
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One-to-many neural network mapping techniques for face image synthesis
Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2012)This paper investigates the performance of neural network-based techniques applied to the problem of defining the relationship between a particular type of variation in face images and the multivariate data distributions ...
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Article
Restoration of partially occluded shapes of faces using neural networks
Draganova, C.; Lanitis, A.; Christodoulou, Chris C. (2005)One of the major difficulties encountered in the development of face image processing algorithms, is the possible presence of occlusions that hide part of the face images to be processed.Typical examples of facial occlusions ...