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CLEF2007 Image Annotation Task: an SVM-based Cue Integration Approach

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A Pareto-Compliant Surrogate Approach for Multiobjective Optimization

Ilya Loshchilov

This paper discusses the idea of using a single Pareto-compliant surrogate model for multiobjective optimization. While most surrogate approaches to multi-objective optimization build a surrogate model for each objective, the recently proposed mono surroga ...

2010

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

Fabio Valente

In this paper we propose a novel information theoretic criterion for optimizing the linear combination of classifiers in multi stream automatic speech recognition. We discuss an objective function that achieves a trade-off between the minimization of a bou ...

2009

A fast daylight model suitable for embedded controllers

David Lindelöf

This paper describes a fast daylight model suitable or embedded daylight controllers. For a given room geometry (including position and tilt of venetian blinds, and the sun's position), the indoor illuminances are modeled as a linear combination of outdoor ...

2009

Cue Integration for Medical Image Annotation

Barbara Caputo, Tatiana Tommasi

This paper presents the algorithms and results of our par- ticipation to the image annotation task of ImageCLEFmed 2007. We proposed a multi-cue approach where images are represented both by global and local descriptors. These cues are combined following t ...

Springer-Verlag2008

SimpleMKL

Multiple kernel learning (MKL) aims at simultaneously learning a kernel and the associated predictor in supervised learning settings. For the support vector machine, an efficient and general multiple kernel learning algorithm, based on semi-infinite linear ...

2008

An SVM Confidence-Based Approach to Medical Image Annotation

Barbara Caputo, Tatiana Tommasi

This paper presents the algorithms and results of the “idiap” team participation to the ImageCLEFmed annotation task in 2008. On the basis of our successful experience in 2007 we decided to integrate two different local structural and textural descriptors. ...

2008

CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach

Barbara Caputo, Tatiana Tommasi

This paper presents the algorithms and results of our participation to the medi- cal image annotation task of ImageCLEFmed 2008. Our previous experience in the same task in 2007 suggests that combining multiple cues with diﬀerent SVM-based approaches is ve ...

Idiap2008

3-D Shape Estimation of DNA Molecules from Stereo Cryo-Electron Micro-Graphs Using a Projection-Steerable Snake

Michaël Unser, Thierry Blu, Mathews Jacob

We introduce a three-dimensional (3-D) parametric active contour algorithm for the shape estimation of DNA molecules from stereo cryo-electron micrographs. We estimate the shape by matching the projections of a 3-D global shape model with the micrographs; ...

IEEE2006

Discrete Choice Models for Static Facial Expression Recognition

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini

In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units (EDU), consisting in a set of high level features derived from an active appe ...

Springer-Verlag2006

Towards Explaining the Success (Or Failure) of Fusion in Biometric Authentication

Samy Bengio, Norman Hoon Thian Poh

Biometric authentication is a process of verifying an identity claim using a person's behavioral and physiological characteristics. Due to vulnerability of the system to environmental noise and variation caused by the user, fusion of several biometric-enab ...

IDIAP2005