Publications related to Utilisation de PLSI en recherche d'information

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content ...

IDIAP2005

A Thousand Words in a Scene

Daniel Gatica-Perez, Jean-Marc Odobez, Pedro Manuel Da Silva Quelhas

This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our work attempts to elucidate (1) whether a text-like \emph{bag-of-visterms} represent ...

IDIAP2005

Modeling Scenes with Local Descriptors and Latent Aspects

Daniel Gatica-Perez, Jean-Marc Odobez, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas

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 ...

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

Inferring Document Similarity from Hyper-links

Samy Bengio, David Grangier

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 ...

IDIAP2005

Using Highly Discriminative Keys for Indexing in a Peer-to-Peer Full-Text Retrieval System

Karl Aberer, Martin Rajman, Vinh Toan Luu, Fabius Klemm

Excessive network bandwidth consumption, caused by the transmission of long posting lists, was identified as one of the major bottlenecks for implementing distributed full-text retrieval in a Peer-to-Peer (P2P) architecture. To address this problem we intr ...

2005

Constructing visual models with a latent space approach

Daniel Gatica-Perez, Jean-Marc Odobez, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas

We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns of visual co-occurrence and if the learned visual models improve performance ...

IDIAP2005

Finding groups of people in Google news

Daniel Gatica-Perez

In this paper, we study the problem of content-based social network discovery among people who frequently appear in world news. Google news is used as the source of data. We describe a probabilistic framework for associating people with groups. A low-dimen ...

IDIAP2005

Exploiting Hyperlinks to Learn a Retrieval Model

Samy Bengio, David Grangier

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 ...

2005

Modeling Interactions from Email Communication

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pairs of email users, i.e., the extent to which the email topic dynamics of one ...

IDIAP2005

Utilisation de PLSI en recherche d'information

Graph Chatbot

Chat with Graph Search

Modeling semantic aspects for cross-media image indexing

A Thousand Words in a Scene

Modeling Scenes with Local Descriptors and Latent Aspects

Inferring Document Similarity from Hyperlinks

Inferring Document Similarity from Hyper-links

Using Highly Discriminative Keys for Indexing in a Peer-to-Peer Full-Text Retrieval System

Constructing visual models with a latent space approach

Finding groups of people in Google news

Exploiting Hyperlinks to Learn a Retrieval Model

Modeling Interactions from Email Communication

Modeling semantic aspects for cross-media image indexing

A Thousand Words in a Scene

Modeling Scenes with Local Descriptors and Latent Aspects

Inferring Document Similarity from Hyper-links

Using Highly Discriminative Keys for Indexing in a Peer-to-Peer Full-Text Retrieval System

Constructing visual models with a latent space approach

Modeling Interactions from Email Communication

Exploiting Hyperlinks to Learn a Retrieval Model

Finding groups of people in Google news

Inferring Document Similarity from Hyperlinks