Publication

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Publications associées (32)

Graph Chatbot

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.

Connectez-vous pour utiliser Chat avec Graph Search

Model-free data interpretation for continuous monitoring of complex structures

Daniele Posenato

Structural Health Monitoring (SMH) has the potential to provide reliable, quantitative data on the real condition of structures. Early detection of damage or deterioration can enable preventive repair and reduce maintenance costs. Although obtaining data f ...

EPFL2009

Saddlepoint approximation for mixture models

Anthony Christopher Davison

Two-component mixture distributions with one component a point mass and the other a continuous density may be used as priors for Bayesian inference when sparse representation of an underlying signal is required. We show how saddlepoint approximation in suc ...

2009

Signatures of large-scale soil moisture dynamics on streamflow statistics across US climate regimes

Andrea Rinaldo, Gianluca Botter

In this paper we address an observational validation of recent theoretical results on the structure of the probability density function (pdf) of daily streamflows through the analysis of data pertaining to several catchments covering various sizes, climati ...

2007

Infinite Models for Speaker Clustering

Fabio Valente

In this paper we propose the use of infinite models for the clustering of speakers. Speaker segmentation is obtained trough a Dirichlet Process Mixture (DPM) model which can be interpreted as a flexible model with an infinite a priori number of components. ...

2006

Infinite Models for Speaker Clustering

Fabio Valente

IDIAP2006

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 ...

2006

Finding groups of people in Google news

Daniel Gatica-Perez

IDIAP2005

Penalized Maximum Likelihood Estimation for Normal Mixture Distributions

Andrea Ridolfi

Mixture models form the essential basis of data clustering within a statistical framework. Here, the estimation of the parameters of a mixture of Gaussian densities is considered. In this particular context, it is well known that the maximum likelihood app ...

2003

Finding Structure in Home Videos by Probabilistic Hierarchical Clustering

Daniel Gatica-Perez

Accessing, organizing, and manipulating home videos present technical challenges due to their unrestricted content and lack of storyline. In this paper, we present a methodology to discover cluster structure in home videos, which uses video shots as the un ...

2003

Finding Structure in Consumer Videos by Probabilistic Hierarchical Clustering

Daniel Gatica-Perez

IDIAP2002