136 search results - page 20 / 28 » A Framework for Machine Learning with Ambiguous Objects |
CVPR
2009
IEEE
2009
IEEE
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
15 years 2 months ago
This paper studies a framework for matching an unknown
number of corresponding structures in two images
(shapes), motivated by detecting objects in cluttered background
and lear...
ECTEL
2007
Springer
14 years 1 months ago
2007
Springer
The success of the e-learning paradigm observed in recent times created a growing demand for e-learning systems in universities and other educational institutions, that itself led ...
EUROCAST
2007
Springer
14 years 1 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
ECML
2001
Springer
13 years 12 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...