Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Shape warping is a key problem in statistical shape analysis. This paper proposes a framework for geometric shape warping based on both shape distances and landmarks. Our method i...
Olivier D. Faugeras, Pierre Maurel, Renaud Keriven
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
The computational cost and precision of a shape style heap analysis is highly dependent on the way method calls are handled. This paper introduces a new approach to analyzing metho...
Abstract--The recently introduced notion of Finite-Time Lyapunov Exponent to characterize Coherent Lagrangian Structures provides a powerful framework for the visualization and ana...
Christoph Garth, Florian Gerhardt, Xavier Tricoc...