Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within...
The paper addresses software implementation of large sparse systems of Boolean functions. Fast evaluation of such functions with the smallest memory consumption is often required ...
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
In this paper we propose a concept for transparent access to VRML state information. Our approach enhances VRML browsers to provide additional functionality instead of placing the...
The user observed latency of retrieving Web documents is one of
limiting factors while using the Internet as an information data source.
Prefetching became important technique ...