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ITS
2000
Springer
108views Multimedia» more  ITS 2000»
13 years 8 months ago
Is What You Write What You Get?: An Operational Model of Training Scenario
To meet the needs for large-scale, high-quality learning contents, needless to say, we have to sharpen authoring tools. Authoring process can be roughly divided into two phases, a ...
Yusuke Hayashi, Mitsuru Ikeda, Kazuhisa Seta, Osam...
MLMI
2004
Springer
13 years 10 months ago
The NITE XML Toolkit Meets the ICSI Meeting Corpus: Import, Annotation, and Browsing
The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe work in progress to explore its potential for the AMI project by appl...
Jean Carletta, Jonathan Kilgour
ICMCS
2007
IEEE
158views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Automatic Multi-Modal Meeting Camera Selection for Video-Conferences and Meeting Browsers
In a video-conference the participants usually see the video of the speaker. However if somebody reacts (e. g. nodding) the system should switch to his video. Current systems do n...
Marc Al-Hames, Benedikt Hörnler, Ronald M&uum...
MCS
2009
Springer
13 years 11 months ago
When Semi-supervised Learning Meets Ensemble Learning
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
Zhi-Hua Zhou
TSMC
2008
147views more  TSMC 2008»
13 years 4 months ago
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation
Recently, much work has been done in multiple ob-4 ject tracking on the one hand and on reference model adaptation5 for a single-object tracker on the other side. In this paper, we...
Franz Pernkopf