Publications associées à Leveraging User-Generated Content for Information Discovery on the Web

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

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.

A Bayesian Method for Matching Two Similar Graphs without Seeds

Matthias Grossglauser, Pedram Pedarsani

Approximate graph matching (AGM) refers to the problem of mapping the vertices of two structurally similar graphs, which has applications in social networks, computer vision, chemistry, and biology. Given its computational cost, AGM has mostly been limited ...

2013

Geotag Propagation with User Trust Modeling

Touradj Ebrahimi, Jong Seok Lee, Ivan Ivanov, Péter Vajda

The amount of information that people share on social networks is constantly increasing. People also comment, annotate, and tag their own content (videos, photos, notes, etc.), as well as the content of others. In many cases, the content is tagged manually ...

Springer-Verlag2013

Comparative Study of Trust Modeling For Automatic Landmark Tagging

Touradj Ebrahimi, Ivan Ivanov, Péter Vajda

Many images uploaded to social networks are related to travel, since people consider traveling to be an important event in their life. However, a signiﬁcant amount of travel images on the Internet lack proper geographical annotations or tags. In many cases ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Active Testing Search for Point Cloud Matching

Pascal Fua, Raphael Sznitman, Jan Kybic, Miguel Amável Dos Santos Pinheiro

We present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly finds a coarse approximation of the solution by exploring a reduced set of partial matches using an approach to ...

2013

Special Section on Social Media as Sensors

Daniel Gatica-Perez, Jie Luo

Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. Each content item is associated with an abundance of metadata and related informat ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Collaborative Schema Matching Reconciliation

Karl Aberer, Quoc Viet Hung Nguyen, Zoltán Miklós, Hoai Xuan Luong

Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purpose. Although several schema matching tools have been developed, their results are often incomplete or erroneous. To obtain c ...

2013

Collaborative Schema Matching Reconciliation

Karl Aberer, Zoltán Miklós

Springer-Verlag Berlin2013

Multimedia content analysis for emotional characterization of music video clips

Touradj Ebrahimi, Ashkan Yazdani, Evangelos Skodras

Nowadays, tags play an important role in the search and retrieval process in multimedia content sharing social networks. As the amount of multimedia contents explosively increases, it is a challenging problem to find a content that will be appealing to the ...

Springer International Publishing Ag2013

Leveraging User-Generated Content for Information Discovery on the Web

Graph Chatbot

Chattez avec Graph Search

A Bayesian Method for Matching Two Similar Graphs without Seeds

Privacy and Dynamics of Social Networks

Parametric dictionary learning for graph signals

Geotag Propagation with User Trust Modeling

Comparative Study of Trust Modeling For Automatic Landmark Tagging

Active Testing Search for Point Cloud Matching

Special Section on Social Media as Sensors

Collaborative Schema Matching Reconciliation

Collaborative Schema Matching Reconciliation

Multimedia content analysis for emotional characterization of music video clips

A Bayesian Method for Matching Two Similar Graphs without Seeds

Parametric dictionary learning for graph signals

Geotag Propagation with User Trust Modeling

Multimedia content analysis for emotional characterization of music video clips

Collaborative Schema Matching Reconciliation

Privacy and Dynamics of Social Networks

Comparative Study of Trust Modeling For Automatic Landmark Tagging

Collaborative Schema Matching Reconciliation

Active Testing Search for Point Cloud Matching

Special Section on Social Media as Sensors