We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
We present Chorus, a high-level parallel programming model suitable for irregular, heap-manipulating applications like mesh refinement and epidemic simulations, and JChorus, an i...
Roberto Lublinerman, Swarat Chaudhuri, Pavol Cern&...
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Abstract—We present a new low-level interfacing scheme for connecting custom accelerators to processors that tolerates latencies that usually occur when accessing hardware accele...
Jaroslav Sykora, Leos Kafka, Martin Danek, Lukas K...