Christoph Schnörr
Informatiker
Werke:
- Efficient graph cuts for unsupervised image segmentation using probabilistic sampling and SVD-based approximation
- Image labeling and grouping by minimizing linear functionals over cones
- Binary tomography by iterating linear programs
- Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers