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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