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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 5 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
100
Voted
JUCS
2007
97views more  JUCS 2007»
15 years 17 days ago
A Framework for the Conceptualization of Approaches to "Create-by-Reuse" of Learning Design Solutions
: IMS Learning Design (IMS LD) is an interoperable and standardized language that enables the computational representation of Units of Learning (UoLs). However, its adoption and ex...
Davinia Hernández Leo, Andreas Harrer, Juan...
95
Voted
MM
2005
ACM
145views Multimedia» more  MM 2005»
15 years 6 months ago
Multiple instance learning for labeling faces in broadcasting news video
Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on lab...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
ECCV
2008
Springer
15 years 2 months ago
Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning
Abstract. Successful multi-target tracking requires locating the targets and labeling their identities. This mission becomes significantly more challenging when many targets freque...
Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao
CRIWG
2004
15 years 2 months ago
An Integrated Approach for Analysing and Assessing the Performance of Virtual Learning Groups
Collaborative distance learning involves a variety of elements and factors that have to be considered and measured in order to analyse and assess group and individual performance m...
Thanasis Daradoumis, Alejandra Martínez-Mon...