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» A supervised learning approach for imbalanced data sets
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AAAI
2000
13 years 10 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
ICPR
2006
IEEE
14 years 10 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
MM
2005
ACM
145views Multimedia» more  MM 2005»
14 years 2 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
LOCA
2009
Springer
14 years 1 months ago
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
Maja Stikic, Bernt Schiele
JDWM
2008
90views more  JDWM 2008»
13 years 9 months ago
Overview of PAKDD Competition 2007
The PAKDD Competition 2007 involved the problem of predicting customers'propensity to take up a home loanwhenacollectionofdatafromcreditcardusersareprovided.Itisratherdifficu...
Junping Zhang, Guo-Zheng Li