2865 search results - page 222 / 573 » Learning Models for Object Recognition |
127
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
153
Voted
DAGSTUHL
2000
15 years 4 months ago
2000
This paper introduces our one-armed stationary humanoid robot GripSee together with research projects carried out on this platform. The major goal is to have it analyze a table sce...
131
click to vote
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
191
Voted
IBPRIA
2007
Springer
15 years 5 months ago
2007
Springer
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
114
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...