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Thieme Hennis (1981) is a PhD researcher in the Systems Engineering Group of the Faculty of Technology, Policy, and Management of Delft University of Technology. Before joining the...
ML
2007
ACM
1 years 5 months ago
2007
ACM
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
IJISTA
2007
1 years 5 months ago
2007
: This paper presents an online learning framework for the behavior of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised lear...
Publication
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex
scenes using a monocular, potentially moving, uncalibrated ca...
WEBNET
2000
1 years 6 months ago
2000
: Web-based instruction and online learning are changing customary practices in education. As conventional patterns for content delivery are influenced by new and improving technol...
INTERACT
2003
1 years 6 months ago
2003
: New Information Technologies (IT) offer a new way for teaching and learning. Rather than simply duplicate old learning materials and make them correspond to the new IT tools, it ...
APPINF
2003
1 years 7 months ago
2003
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, ...
IADIS
2004
1 years 7 months ago
2004
The three-year comparative study analyses progress made by students (of similar academic aptitude) on the same undergraduate level module delivered via traditional blended and onl...
WALTD
2008
1 years 7 months ago
2008
Young adults with severe disabilities and learning difficulties (SLD) have very limited access to appropriate learning resources. Their unique individual needs and requirements pr...
ALT
2010
Springer
1 years 7 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
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