310 search results - page 32 / 62 » MuFeSaC: Learning When to Use Which Feature Detector |
FSR
2003
Springer
14 years 1 months ago
2003
Springer
Current methods for off-road navigation using vehicle and terrain models to predict future vehicle response are limited by the accuracy of the models they use and can suffer if th...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
NIPS
2008
13 years 9 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...