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ECML
2006
Springer
14 years 27 days ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ISCA
1998
IEEE
135views Hardware» more  ISCA 1998»
14 years 25 days ago
Branch Prediction Based on Universal Data Compression Algorithms
Data compression and prediction are closely related. Thus prediction methods based on data compression algorithms have been suggested for the branch prediction problem. In this wo...
Eitan Federovsky, Meir Feder, Shlomo Weiss
APN
1995
Springer
14 years 24 days ago
Modular State Space Analysis of Coloured Petri Nets
State Space Analysis is one of the most developed analysis methods for Petri Nets. The main problem of state space analysis is the size of the state spaces. Several ways to reduce ...
Søren Christensen, Laure Petrucci
ICCV
1995
IEEE
14 years 24 days ago
Real-Time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow
The lure of using motion vision as a fundamental element in the perception of space drives this effort to use flow features as the sole cues for robot mobility. Real-time estimat...
David Coombs, Martin Herman, Tsai-Hong Hong, Maril...
ECCV
2010
Springer
14 years 17 days ago
Exploring Ambiguities for Monocular Non-Rigid Shape Estimation
Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricti...