1174 search results - page 89 / 235 » Boosting for transfer learning |
148
Voted
ICARCV
2008
IEEE
15 years 7 months ago
2008
IEEE
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
74
Voted
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
140
Voted
IPMI
2007
Springer
15 years 7 months ago
2007
Springer
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
109
Voted
ACCV
2006
Springer
15 years 6 months ago
2006
Springer
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
107
Voted
ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...