Concept

Compound probability distribution

Publications associées (99)

Discrete Mixtures Models

Allowing for variations in behaviour across respondents is one of the most fundamental principles in discrete choice modelling, given that the assumption of a purely homogeneous population cannot in general be seen to be valid. Two approaches have classica ...

STRC 20062006

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...

2006

Exploring Contextual Information in a Layered Framework for Group Action Recognition

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

IDIAP2006

Multi target direction-of-arrival tracking using road priors

Volkan Cevher

In this paper, we present a multi target particle filter DOA tracker that can incorporate road prior information at a single array node. The filter uses a batch of DON's to determine the state vector, based on an image template matching idea. The filter li ...

2006

Towards ASR Based on Hierarchical Posterior-Based Keyword Recognition

Hynek Hermansky

The paper presents an alternative approach to automatic recognition of speech in which each targeted word is classified by a separate binary classifier against all other sounds. No time alignment is done. To build a recognizer for N words, N parallel binar ...

IDIAP2005

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Hervé Bourlard, Samy Bengio, Hamed Ketabdar

In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of features and taking into account acoustic context (e.g., as available in the whole utt ...

2005

Hierarchical Multi-Stream Posterior Based Speech Recognition System

Hervé Bourlard, Samy Bengio, Hamed Ketabdar

IDIAP2005

Self-similar density turbulence in the TCV tokamak scrape-off layer

Jonathan Graves, Richard Pitts, Jan Horacek

Plasma fluctuations in the scrape-off layer (SOL) of the TCV tokamak exhibit statistical properties which are universal across a broad range of discharge conditions. Electron density fluctuations, from just inside the magnetic separatrix to the plasma-wall ...

2005

Lighting Normalization Algorithms for Face Verification

Sébastien Marcel, Guillaume Heusch

In this report, we address the problem of face verification across illumination, since it has been identified as one of the major factor degrading the performance of face recognition systems. First, a brief overview of face recognition together with its ma ...

IDIAP2005

Validation of Tissue Modelization and Classification Techniques in T1-weighted MR Brain Images

Jean-Philippe Thiran, Meritxell Bach Cuadra, Leila Cammoun, Olivier Cuisenaire, Torsten Butz

We propose a deep study on tissue modelization and classification techniques on T1-weighted MR images. Six approaches have been taken into account to perform this validation study. We consider first the Finite Gaussian Mixture model (A-FGMM) and a Bayes cl ...

2004

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