Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Abstract. In this paper, we introduce DegExt, a graph-based languageindependent keyphrase extractor,which extends the keyword extraction method described in [6]. We compare DegExt ...
Marina Litvak, Mark Last, Hen Aizenman, Inbal Gobi...
Nowadays more and more Web sites generate Web pages containing client-side scripts such as JavaScript and Flash instead of ordinary static HTML pages. These scripts create dynamic ...
This paper presents an efficient extraction method of closed loops as primitive symbols of line drawings, and an robust line drawing understanding system incorporating this extrac...
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
For submicron integrated circuits, 3D numerical techniques are required to accurately compute the values of the interconnect capacitances. In this paper, we describe an hierarchic...
The publication time of a page can have a big impact on its relevance to a query, especially for time-sensitive pages such as news items. For news search engines, the publication ...
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages. An extraction method consists of applying the...
Information Extraction (IE) is an important research field within the Artificial Intelligence community, for it tries to extract relevant information out of vast amounts of data....
— In video indexing and summarization, video text is the very compact and accurate information. Most video text detection and extraction methods deal with the static videotext on...