167 search results - page 28 / 34 » LIFT: A new framework of learning from testing data for face... |
MCS
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
IJCV
2008
13 years 8 months ago
2008
We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Action recognition methods suffer from many drawbacks in practice, which include (1)the inability to cope with incremental recognition problems; (2)the requirement of an intensive...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...