Concept

Formal concept analysis

Related publications (40)

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Towards a Scientific Model Management System

Stefano Spaccapietra, José Antonio Fernandes de Macedo

Computational models of biological systems aim at accurately simulating in vivo phenomena. They have become a very powerful tool enabling scientists to study complex behavior. A side effect of their success Unfortunately exists and is observed as an increa ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Relating time-occupancy measurements to space-occupancy and link vehicle-count

The relationships between instantaneous space-variables and (easily measurable) local time-variables in largely homogeneous and stationary traffic flow, as typically encountered in uninterrupted traffic conditions, are briefly reviewed. An elaborate analys ...

Elsevier2008

Evaporation from three water bodies of diﬀerent sizes and climates: Measurements and scaling analysis

Shirit Cohen, Marc Parlange, Gabriel George Katul, Scott W. Tyler

Evaporation from small reservoirs, wetlands, and lakes continues to be a theoretical and practical problem in surface hydrology and micrometeorology because atmospheric ﬂows above such systems can rarely be approximated as stationary and planar-homogeneous ...

2008

The generic Gröbner walk

The Gröbner walk is an algorithm for conversion between Gröbner bases for different term orders. It is based on the polyhedral geometry of the Gröbner fan and involves tracking a line between cones representing the initial and target term order. An importa ...

2007

Unsupervised multiscale image segmentation

Ana Dimitrijevic

In the early stages of visual information processing one of the most fundamental and complex task is segmentation. This process is used to divide images or image sequences into meaningful regions or objects. Such a representation is definitely needed to go ...

EPFL2006

Worst-Case Bounds for Gaussian Process Models

Matthias Seeger

We present a competitive analysis of some non-parametric Bayesian algorithms in a worst-case online learning setting, where no probabilistic assumptions about the generation of the data are made. We consider models which use a Gaussian process prior (over ...

2006

Blind Audio-Visual Source Separation Using Sparse Redundant Representations

Pierre Vandergheynst, Gianluca Monaci, Anna Llagostera Casanovas

This report presents a new method to confront the Blind Audio Source Separation (BASS) problem, by means of audio and visual information. In a given mixture, we are able to locate the video sources first and, posteriorly, recover each source signal, only w ...

2006

Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams

Giovanni De Micheli, Luca Benini

The biclustering method can be a very useful analysis tool when some genes have multiple functions and experimental conditions are diverse in gene expression measurement. This is because the biclustering approach, in contrast to the conventional clustering ...

2005

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

What is Better: GMM of Two Gaussians or Two Clusters With One Gaussian?

In this report, we provide a theoretical discussion on temporal data cluster analysis: does the data come from one source or two sources; is it better to cluster the data into two clusters or leave it as one cluster. Here we analyse only the simplest case: ...

IDIAP2002