Project-Team Geostat
Members
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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2015 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:
  • 3.4.2. - Unsupervised learning
  • 3.4.7. - Kernel methods
  • 3.4.8. - Deep learning
  • 5.3. - Image processing and analysis
  • 5.3.2. - Sparse modeling and image representation
  • 5.3.3. - Pattern recognition
  • 5.3.5. - Computational photography
  • 5.7. - Audio modeling and processing
  • 5.7.3. - Speech
  • 5.7.4. - Analysis
  • 5.9. - Signal processing
  • 5.9.2. - Estimation, modeling
  • 5.9.3. - Reconstruction, enhancement
  • 5.9.5. - Sparsity-aware processing
Other Research Topics and Application Domains:
  • 2. - Health
  • 2.2. - Physiology and diseases
  • 2.2.1. - Cardiovascular and respiratory diseases
  • 2.2.6. - Neurodegenerative diseases
  • 3. - Environment and planet
  • 3.3. - Geosciences
  • 3.3.2. - Water: sea & ocean, lake & river
  • 3.3.4. - Atmosphere