98 search results - page 2 / 20 » Optimizing Ada on the fly |
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
The aim of this work is to propose an adaptation of optimal path based interactive tools for image segmentation (related to Live-Wire [12] and Intelligent Scissors [18] approaches)...
IJRR
2007
13 years 5 months ago
2007
Efficient algorithms for collision-free energy sub-optimal path planning for formations of spacecraft flying in deep space are presented. The idea is to introduce a set of way-poi...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
CARDIS
2004
Springer
13 years 11 months ago
2004
Springer
Considering the typical amount of memory available on a smart card, it is essential to minimize the size of the runtime environment to leave as much memory as possible to applicati...