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Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

Publications associées (85)

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Analysis of a Synonymy Network

Paolo De Los Rios, Jean-Cédric Chappelier, David Gfeller

The purpose of this report is to present the study of a linguistic network based on the relation of synonymy. The network has been extracted from a dictionary of synonyms in French. Due to errors and ambiguities in the data, the synonyms are not always gro ...

2004

Un modèle factoriel dynamique pour séries temporelles

Andrei Zenide

This work deals with factorial models for multiple time series. Its core content puts it at the interface between statistics and finance. After a brief description of the historical link between the two sciences, it reviews the literature on factorial mode ...

EPFL2004

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filters are now established as the most popular method for visual tracking. Within this framework, it is generally assumed that the data are temporally independent given the sequence of object states. In this paper, we argue that in general the da ...

IDIAP2003

An Implicit Motion Likelihood for Tracking with Particle Filters

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Springer Verlag2003

Applying the Patuxent Landscape Unit Model to human dominated ecosystems: the case of agriculture

Claudia Rebeca Binder Signer

Non-spatial dynamics are core to landscape simulations. Unit models simulate system interactions aggregated within one space unit of resolution used within a spatial model. For unit models to be applicable to spatial simulations they have to be formulated ...

Elsevier2003

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering

In many signal such speech, bio-signals, protein chains, etc. there is a dependency between consecutive vectors. As the dependency is limited in duration such data can be called as Piecewise-Dependent- Data (PDD). In clustering it is frequently needed to m ...

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

Noise Robust Discriminative Models

Samy Bengio, Quan Le

For classification problems, it is important that the classifier is trained with data which is likely to appear in the future. Discriminative models, because of their nature to focus on the boundary between classes rather than data itself, usually do not h ...

IDIAP2003

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering

IDIAP and Ben-Gurion University of the Negev, Israel2002

Extended BIC Criterion for Model Selection

Model selection is commonly based on some variation of the BIC or minimum message length criteria, such as MML and MDL. In either case the criterion is split into two terms: one for the model (data code length/model complexity) and one for the data given t ...

IDIAP2002