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The performanceofalearning-basedmethodhighlydependsonthequalityofatrainingset.However,itis verychallengingtocollectanefficientandeffectivetrainingsetfortrainingagoodclassifier,becauseof
the highdimen...
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Matrix-Structural Learning Cascaded Classifier Training Set
2010/12/17
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and Jones’ cascade learni...
Expand Training Set for Face Detection by GA Re-sampling
Expand Training Set Face Detection GA Re-sampling
2010/12/15
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this problem. This paper p...