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Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

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Probabilistic Graphical Models for Human Interaction Analysis

Dong Zhang

The objective of this thesis is to develop probabilistic graphical models for analyzing human interaction in meetings based on multimodel cues. We use meeting as a study case of human interactions since research shows that high complexity information is mo ...

IDIAP2006

Probabilistic Graphical Models for Human Interaction Analysis

Dong Zhang

École Polytechnique Fédérale de Lausanne2006

Probabilistic graphical models for human interaction analysis

Dong Zhang

EPFL2006

Prior Knowledge in Kernel Methods

Alexei Pozdnoukhov

Machine Learning is a modern and actively developing field of computer science, devoted to extracting and estimating dependencies from empirical data. It combines such fields as statistics, optimization theory and artificial intelligence. In practical task ...

École Polytechnique Fédérale de Lausanne2006

Prior knowledge in Kernel methods

Alexei Pozdnoukhov

EPFL2006

A Kernel Classifier for Distributions

Samy Bengio, Alexei Pozdnoukhov

This paper presents a new algorithm for classifying distributions. The algorithm combines the principle of margin maximization and a kernel trick, applied to distributions. Thus, it combines the discriminative power of support vector machines and the well- ...

IDIAP2005

A linear algorithm for integer programming in the plane

Friedrich Eisenbrand

We show that a 2-variable integer program, defined by m constraints involving coefficients with at most φ bits, can be solved with O(m+φ) arithmetic operations on rational numbers of size O(φ). © Springer-Verlag 2004. ...

2005

A Bayesian Approach to Video Expansions on Parametric Over-Complete 2-D Dictionaries

Pierre Vandergheynst, Oscar Divorra Escoda

In this work, we explore a framework for the sparse representation of video sequences by means of spatio ...

IEEE2004

Sparse Gaussian Process Classification With Multiple Classes

Matthias Seeger

Sparse approximations to Bayesian inference for nonparametric Gaussian Process models scale linearly in the number of training points, allowing for the application of these powerful kernel-based models to large datasets. We show how to generalize the binar ...

Department of Statistics, University of Berkeley, CA2004

Population pharmacokinetics and effects of efavirenz in patients with human immunodeficiency virus infection

Jacques Fellay, Amalio Telenti, Thierry Buclin

The reverse transcriptase inhibitor efavirenz is currently used at a fixed dose of 600 mg/d. However, dosage individualization based on plasma concentration monitoring might be indicated. This study aimed to assess the efavirenz pharmacokinetic profile and ...

Elsevier2003