3837 search results - page 93 / 768 » Learning Approximate Consistencies |
134
click to vote
ESSMAC
2003
Springer
15 years 9 months ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
137
click to vote
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
109
click to vote
ECML
1991
Springer
15 years 7 months ago
1991
Springer
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
126
click to vote
ESA
2010
Springer
15 years 5 months ago
2010
Springer
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
142
Voted
CA
2002
IEEE
15 years 9 months ago
2002
IEEE
Complex virtual environments can be simulated with physical or procedural motion. Physical motion is more realistic, but requires the integration of an ordinary differential equat...