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ECCV
2004
Springer
15 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
WEBI
2009
Springer
15 years 4 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Özgür Kafali, Pinar Yolum
ICIP
2010
IEEE
14 years 7 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang
EDM
2010
173views Data Mining» more  EDM 2010»
14 years 9 months ago
Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design
This poster will describe the Learner Interaction Monitoring System (LiMS), designed to capture data demonstrating learner online engagement with course materials. The poster prese...
Leah Macfadyen, Peter Sorenson
ECTEL
2009
Springer
15 years 4 months ago
Personalisation of Learning in Virtual Learning Environments
Personalization of learning has become a prominent issue in the educational field, at various levels. This article elaborates a different view on personalisation than what usually ...
Dominique Verpoorten, Christian Glahn, Milos Kravc...