Yannick Berthoumieu


Ontology type: schema:Person     


Person Info

NAME

Yannick

SURNAME

Berthoumieu

Publications in SciGraph latest 50 shown

  • 2019 Warped Riemannian Metrics for Location-Scale Models in GEOMETRIC STRUCTURES OF INFORMATION
  • 2017-10-24 Riemannian Online Algorithms for Estimating Mixture Model Parameters in GEOMETRIC SCIENCE OF INFORMATION
  • 2017-10-24 Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images in GEOMETRIC SCIENCE OF INFORMATION
  • 2017-10-24 Warped Metrics for Location-Scale Models in GEOMETRIC SCIENCE OF INFORMATION
  • 2017-10-24 Maximum Likelihood Estimators on Manifolds in GEOMETRIC SCIENCE OF INFORMATION
  • 2016-07 From Intrinsic Optimization to Iterated Extended Kalman Filtering on Lie Groups in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2015-09 Generic multivariate model for color texture classification in RGB color space in INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL
  • 2015 Texture Classification Using Rao’s Distance on the Space of Covariance Matrices in GEOMETRIC SCIENCE OF INFORMATION
  • 2015 Global Motion Estimation from Relative Measurements in the Presence of Outliers in COMPUTER VISION -- ACCV 2014
  • 2014-02 An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2013 K-Centroids-Based Supervised Classification of Texture Images Using the SIRV Modeling in GEOMETRIC SCIENCE OF INFORMATION
  • 2012 Multi-model Approach for Multicomponent Texture Classification in IMAGE AND SIGNAL PROCESSING
  • 2011 Color Texture Classification Using Rao Distance between Multivariate Copula Based Models in COMPUTER ANALYSIS OF IMAGES AND PATTERNS
  • 2008 The Bi-directional Framework for Unifying Parametric Image Alignment Approaches in COMPUTER VISION – ECCV 2008
  • 2007 Evaluating Descriptors Performances for Object Tracking on Natural Video Data in ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS
  • 2006 Inverse Composition for Multi-kernel Tracking in COMPUTER VISION, GRAPHICS AND IMAGE PROCESSING
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