Introduction Feldkamp-Davis-Kress (FDK) reconstructions of CT scans [1] require an appropriate pre-weighting of the CT rawdata to account for the redundancies of the measured x-rays. Currently, there exist several weighting schemes for dedicated scan trajectories, e.g. the well-known Parker weighting for circular short scans [2], the shifted-detector weighting [3], the partial scan shifted dete...

We address the problem of discovering fuzzy subsumption relations between concepts from different concept hierarchies. We investigate two approximate reasoning schemes which aim at improving of the fuzzy subsumption relation assessment. The first scheme utilizes the structure of a concept hierarchy and the second takes advantage of a Google-based dissimilarity measure. We present the results of...

Contrary to the traditional Bag-of-Words approach, we consider the Graph-of-Words (GoW) model in which each document is represented by a graph that encodes relationships between the different terms. Based on this formulation, the importance of a term is determined by weighting the corresponding node in the document, collection and label graphs, using node centrality criteria. We also introduce ...

Information retrieval focuses on content-based searching in text documents. For this purpose, first text content must be represented, by using a representation language (like thesauri or classification schemes) or by performing free-text search. The latter approach uses either string-based or computer-linguistic methods (stemming, dictionary lookup, syntax analysis). For retrieval, weighting an...

Using as experimental platform an image retrieval method based on a spatio-conceptual representation of images, in this paper we investigate two main concerns on annotationbased image retrieval: label weighting and data fusion. On the one hand, we analyze the influence of different weighting schemes on the quality of the retrieval performance, and, on the other hand, we study the application of...

New methods based on local spatio-temporal features have exhibited significant performance in action recognition. In these methods, feature selection plays an important role to achieve a superior performance. Actions are represented by local spatio-temporal features extracted from action videos. Action representations are then classified by applying a classifier (such as k-nearest neighbor or S...

In this paper we describe a method for weighting surveys of a sub-sample of voters. We focus on the case of Latino voters. And we analyze data for three surveys: two opinion polls leading up to the 2004 presidential election, and the national exit poll from the 2004 election. We take advantage of much data when it is available, the large amount of data describing the demographics of Hispanic ci...

This paper describes an approach to utilizing term weights for sentiment analysis tasks and shows how various term weighting schemes improve the performance of sentiment analysis systems. Previously, sentiment analysis was mostly studied under data-driven and lexicon-based frameworks. Such work generally exploits textual features for fact-based analysis tasks or lexical indicators from a sentim...

This paper presents the results of the University at Buffalo (UB) in TREC genomics. For this task we used the SMART retrieval system and a pre retrieval expansion method that uses the ABGene and MetaMap tools. We tried two different weighting schemes one using pivoted length normalization (Lnu.ltu) and another using augmented tf-idf (atn.ann). The results show that performance of pivoted length...

Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effectively and efficiently searching tables becomes a challenge. Existing search engines do not provide satisfactory search results largely because the current ranking schemes are inadequate for table search and automatic table...