Concept

Latent and observable variables

Related publications (130)

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

The aim of this thesis is to build a system able to automatically and robustly track human motion in 3–D starting from monocular input. To this end two approaches are introduced, which tackle two different types of motion: The first is useful to analyze ac ...

EPFL2010

The Neutron Scattering Structure Factor

Jérôme Egger

In the experience of neutron scattering, the structure factor is a value that can be almost directly measured (through the differential inelastic neutron scattering cross section). Thus it can be interesting to have a calculation which could give a theoret ...

2010

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

BIOGEME is a free software package for estimating by maximum likelihood a broad range of random utility models. It can estimate particularly Multivariate Extreme Value (MEV) models including the logit model, the nested logit model, the cross-nested logit m ...

2009

Contextual classification of image patches with latent aspect models

Daniel Gatica-Perez, Jean-Marc Odobez, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas

We present a novel approach for contextual classification of image patches in complex visual scenes, based on the use of histograms of quantized features and probabilistic aspect models. Our approach uses context in two ways: (1) by using the fact that spe ...

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

Discrete choice models are constantly in evolution in the literature. Since they enable to capture wide range of situations, they have been widely used by researchers and also practitioners in several fields of applications including econometrics and trans ...

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

2009

Observable Subspaces for 3D Human Motion Recovery

Pascal Fua, Mathieu Salzmann, Andrea Fossati

The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. The true range of motion can therefore be represented by latent variables that span a low-dimen ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Systematically heterogeneous covariance in network GEV Models

Jeffrey Newman

Mixed logit models can represent heterogeneity across individuals, in both observed and unobserved preferences, but require computationally expensive calculations to compute probabilities. A few methods for including error covariance heterogeneity in a clo ...

2009

Systematically heterogeneous covariance in network GEV models

Jeffrey Newman

2009

Learning and Predicting Multimodal Daily Life Patterns from Cell Phones

Daniel Gatica-Perez, Katayoun Farrahi

In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people's lives. We present a method that can discover routines from multiple modalities (location and proximity) jointly modeled, ...

2009

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