190 search results - page 16 / 38 » Exploiting multiple classifier types with active learning |
JNW
2008
13 years 7 months ago
2008
This paper provides an overview of the technologies used in smart classrooms for distance education by classifying smart classrooms into four categories and discussing the type of ...
CIVR
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relev...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
ECML
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
IWAN
2004
Springer
14 years 22 days ago
2004
Springer
Active and programmable network technologies strive to support completely new forms of data-path processing capabilities inside the network. This in conjunction with the ability to...