Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Image and geometry processing applications estimate the local geometry of objects using information localized at points. They usually consider information about the tangents as a s...
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
This work focuses on characterizing information about Web resources and server responses that is relevant to Web caching. The approach is to study a set of URLs at a variety of si...
In this paper, we present a semi-supervised approach to space carving by casting the recovery of volumetric data from multiple views into an evidence combining setting. The method...