Concept

Probabilistic classification

Publications associées (189)

Unravelling socio-motor biomarkers in schizophrenia

Aude Billard, Mahdi Khoramshahi, Laura Bénédicte Marine Cohen

We present novel, low-cost and non-invasive potential diagnostic biomarkers of schizophrenia. They are based on the 'mirrorgame', a coordination task in which two partners are asked to mimic each other's hand movements. In particular, we use the patient's ...

2017

Measuring the effect of nuisance variables on classifiers

Pascal Frossard, Alhussein Fawzi

In real-world classification problems, nuisance variables can cause wild variability in the data. Nuisance corresponds for example to geometric distortions of the image, occlusions, illumination changes or any other deformations that do not alter the groun ...

2016

Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification

Sébastien Marcel, Hannah Muckenhirn

In recent years, there has been a growing interest in developing countermeasures against non zero-effort attacks for speaker verification systems. Until now, the focus has been on logical access attacks, where the spoofed samples are injected into the syst ...

Ieee2016

Scalable Unsupervised Domain Adaptation for Electron Microscopy

Pascal Fua, Mathieu Salzmann, Carlos Joaquin Becker, Róger Bermúdez Chacón

While Machine Learning algorithms are key to automating organelle segmentation in large EM stacks, they require annotated data, which is hard to come by in sufficient quantities. Furthermore, images acquired from one part of the brain are not always repres ...

2016

Unified Prosody Model based on Atom Decomposition for Emphasis Detection

Philip Neil Garner, Pierre-Edouard Jean Charles Honnet

The prosody of the speech signal carries both linguistic and paralinguistic information. As such, there is a necessity of its modelling for the purpose of integrating it in speech technology systems. So far, there has been a multitude of proposed models fo ...

2016

Wearable barometric pressure sensor to improve postural transition recognition of mobility-impaired stroke patients

Kamiar Aminian, Anisoara Ionescu, Fabien Massé

Sit-to-stand and Stand-to-sit transfers (STS) provide relevant information regarding the functional limitation of mobility- impaired patients. The characterization of STS pattern using a single trunk fixed inertial sensor has been proposed as an objective ...

Institute of Electrical and Electronics Engineers2016

Efficient Transductive Semantic Segmentation

Mathieu Salzmann

Semantically describing the contents of images is one of the classical problems of computer vision. With huge numbers of images being made available daily, there is increasing interest in methods for semantic pixel labelling that exploit large image sets. ...

Ieee2016

Stealth Assessment in ITS - A Study for Developmental Dyscalculia

Intelligent tutoring systems are adapting the curriculum to the needs of the student. The integration of stealth assessments of student traits into tutoring systems, i.e. the automatic detection of student characteristics has the potential to refine this a ...

2016

Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands

Satoshi Takahama, Giulia Ruggeri

Various vibrational modes present in molecular mixtures of laboratory and atmospheric aerosols give rise to complex Fourier transform infrared (FT-IR) absorption spectra. Such spectra can be chemically informative, but they often require sophisticated algo ...

Copernicus GmbH2016

Probabilistic Derivation of Spatiotemporal Correlation Functions in the Hydrodynamic Limit

Sara Bonella, Mauro Ferrario

In this paper, we use probability theory to prove in suitable conditions the equivalence of equilibrium time correlation functions of microscopic density fields with the time correlation functions of local macroscopic density fields evolved by hydrodynamic ...

Amer Chemical Soc2016

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