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In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by different authors, the writing styles of the documents change as well accordingly. This observation brings the idea of investigating text by means of style. In this paper, we analyze...
In this paper, an object detection system that utilizes contextual relationships between individually detected objects to improve the overall detection performance is introduced. The first contribution in this work is the modelling of real world object relationships (beside, on, near, etc.) that can be probabilistically inferred using measurements in the 2D image space. The other contribution is the...
Keyphrases are useful information extracted from documents. They reflect the main ideas of the text. Therefore knowing the list of keyphrases can save substantial amount of time which can be lost during searching for a document about a particular topic. Unfortunately, there are many documents which do not include a list of keyphrases. Thus automatic extraction of keyphrases becomes an important task...
We describe a new image representation using spatial relationship histograms that extend our earlier work on modeling image content using attributed relational graphs. These histograms are constructed by classifying the regions in an image, computing the topological and distance-based spatial relationships between these regions, and counting the number of times different groups of regions are observed...
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