Related publications (4)

Exploiting Hyperlinks to Learn a Retrieval Model

Samy Bengio, David Grangier

Information Retrieval (IR) aims at solving a ranking problem: given a query qq and a corpus CC, the documents of CC should be ranked such that the documents relevant to qq appear above the others. This task is generally performed by ranking the documen ...
2005

Inferring Document Similarity from Hyperlinks

Samy Bengio, David Grangier

Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a similarity measure that can then be applied to compare any text documents, with or ...
2005

Linking Objects in Videos by Importance Sampling

Daniel Gatica-Perez

We present an approach to create hyper-links between video segments that contain objects of interest, based on video structuring, object definition, and stochastic object localization in the video structure. Localization is formulated in the Metric Mixture ...
2002

Linking Objects in Videos by Importance Sampling

Daniel Gatica-Perez

We present an approach to create hyper-links between video segments that contain objects of interest, based on video structuring, object definition, and stochastic object localization in the video structure. Localization is formulated in the Metric Mixture ...
IDIAP2002

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