This paper presents a new context-based method for automatic detection and extraction of similar and related words from texts. Finding similar words is a very important task for m...
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
The aggregated search assembles in one interface information from different sources. It deals with different types of content (text, video, image, etc) and granularities of retriev...
In this paper, a new implementation method is proposed for Context-Adaptive Variable Length Coding (CAVLC) used in H.264 Baseline Profile. We analyze the correlation between bit p...
This paper has the following goals: – To survey some of the recent developments in the field of derandomization. – To introduce a new notion of time-bounded Kolmogorov complex...