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2018 Project-Team Activity Report
SERPICO
Space-timE RePresentation, Imaging and cellular dynamics of molecular COmplexes
Research centre:
Rennes - Bretagne-Atlantique
In partnership with: CNRS, Institut Curie
In collaboration with: UMR 144 - Compartimentation et dynamique cellulaires
In collaboration with: UMR 144 - Compartimentation et dynamique cellulaires
Keywords:
Computer Science and Digital Science:
- A3.1.1. - Modeling, representation
- A3.3. - Data and knowledge analysis
- A3.3.3. - Big data analysis
- A3.4. - Machine learning and statistics
- A3.4.1. - Supervised learning
- A3.4.5. - Bayesian methods
- A3.4.6. - Neural networks
- 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
- A5.3.4. - Registration
- A5.4.1. - Object recognition
- A5.4.4. - 3D and spatio-temporal reconstruction
- A5.4.5. - Object tracking and motion analysis
- A5.4.6. - Object localization
- A5.9.1. - Sampling, acquisition
- A5.9.2. - Estimation, modeling
- A5.9.3. - Reconstruction, enhancement
- A5.9.5. - Sparsity-aware processing
- A5.9.6. - Optimization tools
- A6.1.2. - Stochastic Modeling
- A6.1.3. - Discrete Modeling (multi-agent, people centered)
- A6.1.4. - Multiscale modeling
- A6.1.5. - Multiphysics modeling
- A6.2.3. - Probabilistic methods
- A6.2.4. - Statistical methods
- A6.2.6. - Optimization
- A6.3. - Computation-data interaction
- A6.3.1. - Inverse problems
- A6.3.2. - Data assimilation
- A6.3.3. - Data processing
- A6.3.4. - Model reduction
- A6.3.5. - Uncertainty Quantification
- A9.2. - Machine learning
- A9.3. - Signal analysis
Other Research Topics and Application Domains:
- B1.1.1. - Structural biology
- B1.1.7. - Bioinformatics
- B1.1.8. - Mathematical biology
- B2.2.3. - Cancer
- B2.6. - Biological and medical imaging