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ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
13 years 9 months ago
Video Annotation by Active Learning and Semi-Supervised Ensembling
Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai,...
ACL
2009
13 years 1 months ago
Semi-Supervised Active Learning for Sequence Labeling
While Active Learning (AL) has already been shown to markedly reduce the annotation efforts for many sequence labeling tasks compared to random selection, AL remains unconcerned a...
Katrin Tomanek, Udo Hahn
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
13 years 9 months ago
Enhanced Semi-Supervised Learning for Automatic Video Annotation
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
Meng Wang, Xian-Sheng Hua, Li-Rong Dai, Yan Song
IJSI
2008
156views more  IJSI 2008»
13 years 3 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
CVPR
2005
IEEE
14 years 5 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade