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Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter!

Related publications (32)

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Quality Assessment of Asymmetric Stereo Pair Formed From Decoded and Synthesized Views

Touradj Ebrahimi, Francesca De Simone, Philippe Hanhart

When a stereo pair is formed from a decoded view and a synthesized view, it is unclear how the overall quality of the stereo pair should be assessed through objective quality metrics. In this paper, this problem is addressed considering a 3D video represen ...

2012

Subjective quality assessment of H.264/AVC video streaming with packet losses

Touradj Ebrahimi, Francesca De Simone, Frédéric Dufaux

Research in the field of video quality assessment relies on the availability of subjective scores, collected by means of experiments in which groups of people are asked to rate the quality of video sequences. The availability of subjective scores is fundam ...

Hindawi Publishing Corporation2011

Video Quality for Face Detection, Recognition and Tracking

Many distributed multimedia applications rely on video analysis algorithms for automated video and image processing. Little is known, however, about the minimum video quality required to ensure an accurate performance of these algorithms. In an attempt to ...

2011

Balancing Attended and Global Stimuli in Perceived Video Quality Assessment

Touradj Ebrahimi

The visual attention mechanism plays a key role in the human perception system and it has a significant impact on our assessment of perceived video quality. In spite of receiving less attention from the viewers, unattended stimuli can still contribute to t ...

2011

Special Issue on Image and Video Quality Assessment

Frédéric Dufaux, Stefan Winkler

The aim of this special issue is to provide an overview of state-of-the-art IQA/VQA methods and to address new developments towards various directions. The issue starts with an invited paper that surveys an area of great current research interest, namely N ...

Elsevier2010

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 ...

EPFL2008

Machine Learning for Information Retrieval

David Grangier

École Polytechnique Fédérale de Lausanne2008

Machine Learning for Information Retrieval

David Grangier

IDIAP2008

Multimodal Evaluation for Medical Image Segmentation

Meritxell Bach Cuadra

This paper is a joint effort between five institutions that introduces several novel similarity measures and combines them to carry out a multimodal segmentation evaluation. The new similarity measures proposed are based on the location and the intensity v ...

Springer Berlin / Heidelberg2007

An Evaluation of Media-Oriented Rate Selection Algorithm for Multimedia Transmission in MANETs

We focus on the optimization of real-time multimedia transmission over 802.11-based ad hoc networks. In particular, we propose a simple and efficient cross-layer mechanism that considers both the channel conditions and characteristics of the media for dyna ...

2005