Studies using semantic priming paradigms to measure the integrity of the features underlying concepts in semantic dementia (SD) reported differential impairment, in that functional features appeared to be more robust to brain damage than other features, such as perceptual ones. However, these prior studies were single case reports and the inclusion of too many heterogeneous features under the "...

In this study, a fuzzy-based multisensor data fusion classifier is developed and applied to land cover classification using ERS-1/JERS-1 SAR composites. This classifier aims at the integration of multisensor and contextual information in a single and a homogeneous framework. Initial Fuzzy Membership Maps (FMM) to different thematic classes are first calculated using classes and sensors a priori...

conclusions the dimensions and variables affecting the surveyors’ management were identified and classified on the basis of existing scientific methods in the form of a conceptual framework. using the results of this study, it would certainly be possible to take a great step toward enhancing the reliability of surveys and the quality and safety of services, while effectively managing accreditat...

this paper discovers the necessary variables need for creating models for tacit knowledge acquisition, especially in medical care services. the case studied here, was knowledge of diagnosing and time of delivery in twin pregnancy with nuchal translucency screening. this paper covers the empirical work undertaken on semi-structured interview based on thematic analysis. with regard of theoretical...

This paper presents the dialogue component of the speech translation system verbmobil. In particular, it describes the Dialogue Memory which has been developed to represent contextual information acquired during dialogue processing. Information is stored both chronologically, i.e. in the order of appearance (in the Sequence Memory) and conceptually (in the Thematic Structure). We show how the D...

Pattern recognition technology has had a very important role in many fields of application including image processing, computer vision, remote sensing, etc. The advent of more powerful sensor systems should enable one to extract far more detailed information than ever before from observed data, but to realize this goal requires the development of concomitant data analysis techniques which can u...

this study aims at empirically furthering awareness of the organization of interaction in efl classes. informed by the methodological framework of conversation analysis, it draws upon a corpus of 52 three-hour naturally-occurring classroom interaction to identify classroom interactional contexts based on the structuring of the pedagogic goals in turn-taking sequences. conversation analytic proc...

In opinion mining, many linguistic structures, called contextual valence shifters, may modify the prior polarity of items. Some systems of sentiment analysis have tried to take these shifters into account, but few studies have focused on the identification of all these structures and their impact