Visual resource discovery modes are discussed with a view to apply them in a wide variety of digital multimedia collections. The paradigms include summarising complex multimedia objects such as TV news, information visualisation techniques for document clusters, visual search by example, relevance feedback and methods to create browsable structures within the collection. These exploration modes...

RÉSUMÉ. Cet article décrit et défini l’utilisation de requêtes par l’exemple (QBE) dans le cadre de recherche symbolique d’images photographiques. La nouveauté de cette approche consiste en l’utilisation conjointe d’indexation symbolique automatique et d’un formalisme de représentation de connaissances pour représenter le contenu des images. De plus, le mécanisme d’abstraction perm la recherche...

This paper provides a non-technical introduction to a procedure to …nd Perfect Bayesian equilibria (PBEs) in incomplete information games. Despite the rapidly expanding literature on industrial organization that uses PBE as its main solution concept, most undergraduate and graduate textbooks still present a relatively theoretical introduction to PBEs. This paper o¤ers a systematic …ve-step proc...

This paper introduces two ideas, emotional state dependent utility components (ESDUCs), and evolutionary perfect Bayesian equilibrium (EPBE). Using a simple extensive form game, we illustrate the e¢ciency-enhancing role of a powerful ESDUC, the vengeance motive. Incorporating behavioral noise and observational noise leads to a range of (short run) Perfect Bayesian equilibria (PBE) involving bot...

This article presents a study of lemmatisation of flexible multiword expressions in Lithuanian. An approach based on syntactic analysis designed for multiword term lemmatisation was adapted for a broader range of MWEs taken from the Dictionary of Lithuanian Nominal Phrases. In the present analysis, the main lemmatisation errors are identified and some improvements are proposed. It shows that au...

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Programming-by-Example approaches allow users to transform data by simply entering the target data. However, current methods do not scale well to complicated examples, where there are many examples or the examples are long. In this paper, we present an approach that exploits the fact that users iteratively provide examples. It reuses the previous subprograms to improve the efficiency in generat...

This paper presents a query-by-example word spotting in handwritten Arabic documents, based on Scale Invariant Feature Transform (SIFT), without using any text word or line segmentation approach, because any errors affect to the subsequent word representation. First the interest points are automatically extracted from the images using SIFT detector, then, we use SIFT descriptor to represent eac...

This presentation demonstrates a new multi-engine machine translation system, which combines knowledge-based and example-based machine translation strategies for realtime translation of business news captions from English to German.