604 search results - page 47 / 121 » The Hardness of Metric Labeling |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
DAGM
2009
Springer
14 years 2 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
DASFAA
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
CEC
2003
IEEE
14 years 1 months ago
2003
IEEE
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...