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ARCS
2005
Springer
15 years 6 months ago
Adaptive Object Acquisition
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...
ECCV
2010
Springer
15 years 21 days ago
MIForests: Multiple-Instance Learning with Randomized Trees
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 ...
Christian Leistner, Amir Saffari, Horst Bischof
OOPSLA
2009
Springer
15 years 7 months ago
Parallel programming with object assemblies
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&...
NIPS
1996
15 years 1 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
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...
Scott Davies
DSD
2011
IEEE
200views Hardware» more  DSD 2011»
14 years 8 days ago
Microthreading as a Novel Method for Close Coupling of Custom Hardware Accelerators to SVP Processors
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...