216 search results - page 35 / 44 » Learning in Gaussian Markov random fields |
100
click to vote
IROS
2009
IEEE
15 years 6 months ago
2009
IEEE
Abstract— Autonomous estimation of the altitude of an Unmanned Aerial Vehicle (UAV) is extremely important when dealing with flight maneuvers like landing, steady flight, etc. ...
93
Voted
ICML
2005
IEEE
16 years 15 days ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
118
click to vote
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
142
click to vote
CRV
2009
IEEE
15 years 6 months ago
2009
IEEE
The use of synthetic aperture radar (SAR) has become an integral part of sea-ice monitoring and analysis in the polar regions. An important task in sea-ice analysis is to segment ...