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A new vulnerability affecting Android mobile devices results not from a traditional bug, but from the malicious combination of two legitimate permissions that power desirable and commonly-used feature...
Hand-crafted illustrations are often more effective than photographs for conveying the shape and important features of an object, but they require expertise and time to produce. We describe an image...
Augmented Reality (AR), a computer science field considered by many as a subfield of the broader concept of Mixed Reality, could alter dramatically the way we interact not only with computers but also...
Natural language expressions are more familiar to users than choosing keywords for queries. Given that, people can use natural language expressions to represent their sophisticated information needs. ...
We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian P...
Measuring relatedness of two papers is an issue which arises in many applications, e.g., recommendation, clustering and classification of papers. In this paper, a digital library is modeled as a direc...
In this paper, a new face recognition technique is introduced based on the gray-level co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the information about relati...
Poon’s statement (1993) that "information is the lifeblood of tourism" is certainly one of the most quoted sources in the relevant scientific literature. And not without reason, as tourism proves to b...
A main problem of data integration is the treatment of conflicts caused by different modeling of realworld entities, different data models or simply by different representations of one and the same ob...
Traditional information systems theory and practice assumes a tight coupling or integration between workpractices in organisations and the information systems which are notionally built to support the...
We use the Margin Infused Relaxed Algorithm of Crammer et al. to add a large number of new features to two machine translation systems: the Hiero hierarchical phrasebased translation system and our sy...
We present symbolic kernel discriminant analysis (symbolic KDA) for face recognition in the framework of symbolic data analysis. Classical KDA extracts features, which are single-valued in nature to r...
In this study, a novel intelligent system based on artificial neural networks was designed and introduced for generating faces from fingerprints with high accuracy. The proposed system has a number o...
A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal,this paper builds up a hierarchical graphical face model for faces appearing at low, ...
In facial image analysis, image resolution is an important factor which has great influence on the performance of face recognition systems. As for lowresolution face recognition problem, traditional m...

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