Project-Team Geostat
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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2019 Project-Team Activity Report
GEOSTAT
Geometry and Statistics in acquisition data
Research centre: Bordeaux - Sud-Ouest

Field: Applied Mathematics, Computation and Simulation
Theme: Optimization, machine learning and statistical methods
Keywords:
Computer Science and Digital Science:
  • A3.4.2. - Unsupervised learning
  • A3.4.7. - Kernel methods
  • A3.4.8. - Deep learning
  • A5.3. - Image processing and analysis
  • A5.3.2. - Sparse modeling and image representation
  • A5.3.3. - Pattern recognition
  • A5.3.5. - Computational photography
  • A5.7. - Audio modeling and processing
  • A5.7.3. - Speech
  • A5.7.4. - Analysis
  • A5.9. - Signal processing
  • A5.9.2. - Estimation, modeling
  • A5.9.3. - Reconstruction, enhancement
  • A5.9.5. - Sparsity-aware processing
Other Research Topics and Application Domains:
  • B2. - Health
  • B2.2. - Physiology and diseases
  • B2.2.1. - Cardiovascular and respiratory diseases
  • B2.2.6. - Neurodegenerative diseases
  • B3. - Environment and planet
  • B3.3. - Geosciences
  • B3.3.2. - Water: sea & ocean, lake & river
  • B3.3.4. - Atmosphere