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AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
Exploratory search over a collection often requires users to iteratively apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the information they encounter. Rich semantic models, such as WordNet, are p ...
Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this paper, we propose a technique to derive a similarity measure from hyper-link information. As linked documents are generally semantically clos ...
We present an encoding framework which exploits semantics for video content delivery. The video content is organized based on the idea of main content message. In the work reported in this paper, the main content message is extracted from the video data th ...
The database and information retrieval communities have long been recognized as being irreconcilable. Today, however, we witness a surprising convergence of the techniques used by both communities in decentralized, large-scale environments. The newly emerg ...
Information Retrieval (IR) aims at solving a ranking problem: given a query q and a corpus C, the documents of C should be ranked such that the documents relevant to q appear above the others. This task is generally performed by ranking the documen ...
In this thesis, we investigate the effectiveness of semantic fisheye views for opportunistic search and sensemaking tasks over large collections of annotated images. Semantic fisheye views are interactive visualization techniques that reveal semantic detai ...
For certain databases and classification tasks, analyzing images based on region features instead of image features results in more accurate classifications. We introduce eigenregions, which are geometrical features that encompass area, location and shape ...
Institute of Electrical and Electronics Engineers2004
Search goals are often too complex or poorly defined to be solved in a single query. While refining their search goals, users are likely to apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the infor ...
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to three open questions:(1) whether the invariant local features are suitable f ...
In a previously reported user study, we found that users were able to perform decision tradeoff tasks more efficiently and commit considerably fewer errors with the example critiquing interface than with the ranked list. We concluded that example-based sea ...
Association for Computing Machinery, New York, NY 10036-5701, United States2005