We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
In this paper we investigate the protein sequence design (PSD) problem (also known as the inverse protein folding problem) under the Canonical model 4 on 2D and 3D lattices [12, 25...
Piotr Berman, Bhaskar DasGupta, Dhruv Mubayi, Robe...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
: The transition from microelectronics to nanoelectronics reaches physical limits and results in a paradigm shift in the design and fabrication of electronic circuits. The conserva...
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel