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ITS
2000
Springer
128views Multimedia» more  ITS 2000»
15 years 8 months ago
Active Learner Modelling
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
ISCI
2008
95views more  ISCI 2008»
15 years 4 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang
187
Voted
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
17 years 1 days ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
115
Voted
IADIS
2004
15 years 6 months ago
Hacker Activity on the Irish Honeynet
The Irish HoneyNet Project is an all volunteer, non-profit organisation committed to sharing and learning the motives, tools, and tactics of the blackhat community comprised of a ...
Kevin Curran, Colman Morrissey, Colm Fagan, Colm M...
ICIP
2003
IEEE
16 years 6 months ago
Image compression with on-line and off-line learning
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
Patrice Y. Simard, Christopher J. C. Burges, David...