We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
— TCP-friendly rate control (TFRC) is a congestion control technique that trade-offs responsiveness to the network conditions for a smoother throughput variation. We take advanta...
Actor-oriented modeling approaches are convenient for implementing functional models of embedded systems. Architectural models for heterogeneous system-on-chip architectures, howe...
Jens Gladigau, Christian Haubelt, Bernhard Niemann...