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Symmetry is usually computationally expensive to detect reliably, while it is relatively easy to perceive. In spite of many attempts to understand the neurofunctional properties of symmetry processing, no symmetry-specific activation was found in earlier cortical areas. Psychophysical evidence relating to the processing mechanisms suggests that the basic processes of symmetry perception would not...
Automated analysis of retinal images usually requires estimating the positions and appearance of blood vessels, which contain important features for abnormality detection. Although there is a wide literature on detecting vessel positions from retinal images by modelling cross-sectional profiles, little attention has been given to extracting vessel appearance in intensity. In this paper, we introduce...
In this paper we present a new multiscale vesselness filtering technique to simultaneously compute optimal medial axes and boundaries on fundus images of the retina. The scale-invariance of the vessel cross-sectional profile in the frequency domain is examined, and phase congruency implementing the scale-invariance is utilised for multiscale vesselness filtering. This allows the vessel ridge and boundary...
The global mobility network can offer effective roaming services for a mobile wireless user between his home network and a visited network. For the sake of privacy, user anonymity has recently become an important security requirement for roaming services, and is a topic of concern in designing related protocols such as mutual authentication and key agreement. In this paper we present a generic construction,...
This paper addresses the problem of Ranking Internet service quality by taking a machine learning approach using multiple service features. Ranking helps find good services for applications that use services as building blocks. Unlike other ranking problems, the goodness of Internet service qualities is dependent upon multiple key features. The key features vary across different service categories...
A novel rate control scheme for H.264/SVC base layer is presented in this paper. At first, a new mean-absolute-difference (MAD) estimation method is introduced to replace the traditional MAD linear prediction model. This new method could reduce the computation complexity sharply and decrease the MAD estimation error by up to 35.6%. Then, the quadratic rate quantization (R-Q) model and the linear R-Q...
Around the core issue of how to construct the literal meaning of natural language, we provide the theory of computation of categorial expressions directed by phrasal structures. This theory uses hierarchial method to describe and interpret language phenomena. We formalize a categorial expression as a directed acyclic graph and define the reduction and unification calculus of categorial expressions.
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