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2016 Team Activity Report
AYIN
Models of spatio-temporal structure for high-resolution image processing
Inria teams are typically groups of researchers working on the definition of a common project, and objectives, with the goal to arrive at the creation of a project-team. Such project-teams may include other partners (universities or research institutions).
Research centre:
Sophia Antipolis - Méditerranée
Keywords:
Computer Science and Digital Science:
- 3.4.1. - Supervised learning
- 3.4.2. - Unsupervised learning
- 3.4.4. - Optimization and learning
- 3.4.5. - Bayesian methods
- 3.4.7. - Kernel methods
- 5.3. - Image processing and analysis
- 5.3.2. - Sparse modeling and image representation
- 5.3.3. - Pattern recognition
- 5.4. - Computer vision
- 5.4.1. - Object recognition
- 5.4.4. - 3D and spatio-temporal reconstruction
- 5.4.5. - Object tracking and motion analysis
- 5.9.2. - Estimation, modeling
- 5.9.3. - Reconstruction, enhancement
- 5.9.4. - Signal processing over graphs
- 5.9.6. - Optimization tools
- 6.1.4. - Multiscale modeling
- 6.2.3. - Probabilistic methods
- 6.2.4. - Statistical methods
- 6.2.6. - Optimization
- 6.3.1. - Inverse problems
Other Research Topics and Application Domains:
- 2.6. - Biological and medical imaging
- 3.1. - Sustainable development
- 3.3. - Geosciences
- 3.4. - Risks
- 3.5. - Agronomy