399 search results - page 44 / 80 » Robust Boosting for Learning from Few Examples |
MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
ECCV
2004
Springer
15 years 3 months ago
2004
Springer
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
ICITA
2005
IEEE
15 years 3 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...