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Application of Information Retrieval Technologies to Presentation Slides

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Machine Learning for Information Retrieval

David Grangier

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...

École Polytechnique Fédérale de Lausanne2008

Machine Learning for Information Retrieval

David Grangier

IDIAP2008

Machine learning approaches to text representation using unlabeled data

Mikaela Keller

With the rapid expansion in the use of computers for producing digitalized textual documents, the need of automatic systems for organizing and retrieving the information contained in large databases has become essential. In general, information retrieval s ...

EPFL2008

Overview of JPSearch: a Standard for Image Search and Retrieval

Touradj Ebrahimi, Frédéric Dufaux, Michael Ansorge

In this paper, we review the on-going JPSearch standardization activity. Its goal is to provide a standard for interoperability for image search and retrieval systems. More specifically, JPSearch aims at defining the interfaces and protocols for data excha ...

2007

Web Text Retrieval with a P2P Query-Driven Index

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Gleb Skobeltsyn

In this paper, we present a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. Our indexing strategy is based on two important properties: (1) the generate ...

2007

Application of Information Retrieval Technologies to Presentation Slides

Jean-Marc Odobez, Alessandro Vinciarelli

Presentations are becoming an increasingly more common means of communication in working environments, and slides are often the necessary supporting material on which the presentations rely. In this paper, we describe a slide indexing and retrieval system ...

2006

Learning to Retrieve Images from Text Queries with a Discriminative Model

Samy Bengio, David Grangier, Florent Monay Michaud

This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval performance of the model. For that purpose, we rely on a ranking loss which ha ...

2006

Learning to Retrieve Images from Text Queries with a Discriminative Model

Samy Bengio, David Grangier, Florent Monay Michaud

IDIAP2006

A Neural Network to Retrieve Images from Text Queries

Samy Bengio, David Grangier

This work presents a neural network for the retrieval of images from text queries. The proposed network is composed of two main modules: the first one extracts a global picture representation from local block descriptors while the second one aims at solvin ...

2006

A Neural Network to Retrieve Images from Text Queries

Samy Bengio, David Grangier

IDIAP2006