1174 search results - page 120 / 235 » Boosting for transfer learning |
CLEF
2010
Springer
14 years 11 months ago
2010
Springer
Wikipedia is an online encyclopedia that anyone can edit. In this open model, some people edits with the intent of harming the integrity of Wikipedia. This is known as vandalism. W...
CVPR
2008
IEEE
16 years 2 days ago
2008
IEEE
This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches...
ICCAD
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...
IBPRIA
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...