In the focus of this paper is a comparison of the most relevant prosodic features/feature classes for the classification of boundaries and accents in German and in English. Principal components were computed based on a large prosodic feature vector; these principal components were used as predictor variables in a Linear Discriminant analysis as well as in a Classification and Regression Tree. T...

In this paper, we propose an efficient text classification method using term projection. Firstly, we use a modified χ statistic to project terms into predefined categories, which is more efficient compared to other clustering methods. Afterwards, we utilize the generated clusters as features to represent the documents. The classification is then performed in a rule-based manner or via SVM. Expe...

The semantic gap or semantic chasm is a well-known problem in content-based image and video retrieval. To address this problem, many techniques have been proposed in the literature. A more common approach is the use of low-level features such as colour, texture and shape for semantic analysis. Our focus in this paper is on the edge feature, which has not been exploited to the same extent as oth...

Image semantic completion is to employ remaining image information restore the damaged or missing areas. Face task usually more challenging than other inpainting problems as it requires stronger consistency. We proposed a contextual feature constrained DCGAN with paired discriminator inpaint face images, which capable of overcoming DCGAN's shortages insufficient learning capability and unstable...