3837 search results - page 21 / 768 » Learning Approximate Consistencies |
95
Voted
NIPS
2007
14 years 11 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
JMLR
2010
14 years 8 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
ICRA
2003
IEEE
15 years 2 months ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
118
Voted
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
SIGGRAPH
2003
ACM
15 years 2 months ago
2003
ACM
We present techniques which create a consistent illumination between real and virtual objects inside an application specific optical see-through display: the Virtual Showcase. We ...