167 search results - page 6 / 34 » LIFT: A new framework of learning from testing data for face... |
CSL
2010
Springer
13 years 7 months ago
2010
Springer
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
AVBPA
2005
Springer
14 years 28 days ago
2005
Springer
With the recent emphasis on homeland security, there is an increased interest in accurate and non-invasive techniques for face recognition. Most of the current techniques perform a...
PRL
2007
13 years 7 months ago
2007
Performance quantification of biometric systems, such as face tracking and recognition highly depend on the database used for testing the systems. Systems trained and tested on r...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...