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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
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