Maxime Boucher

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  • Facebook


According to our database1, Maxime Boucher authored at least 12 papers between 2007 and 2021.

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Bibliography

2021
Cohérences de grandes matrices aléatoires. Théorèmes limites et applications. (Coherence of high dimensional random matrices. Limiting theorems and applications).
PhD thesis, 2021

2014
On Depth Usage for a Lightened Visual SLAM in Small Environments.
Proceedings of the 6th International Conference on Intelligent Human Computer Interaction, 2014

People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Reducing the SLAM drift error propagation using sparse but accurate 3D models for augmented reality applications.
Proceedings of the Virtual Reality International Conference - Laval Virtual, 2013

2012
Local Statistics on Shape Diffeomorphisms Using a Depth Potential Function.
Proceedings of the Mathematical Methods for Signal and Image Analysis and Representation, 2012

2011
Anisotropic Diffusion of Tensor Fields for Fold Shape Analysis on Surfaces.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

2009
Depth potential function for folding pattern representation, registration and analysis.
Medical Image Anal., 2009

Oriented Morphometry of Folds on Surfaces.
Proceedings of the Information Processing in Medical Imaging, 2009

2008
Dealing with uncertainty in the principal directions of tensors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
An unbiased iterative group registration template for cortical surface analysis.
NeuroImage, 2007

A Discrete Differential Operator for Direction-based Surface Morphometry.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007


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