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Optimization of a training set for more robust face detection
Face detection Manifold Genetic algorithm Resampling
2009/11/16
The performance of a learning-based method highly depends on the quality of a training set. However, it is very challenging to collect an efficient and effective training set for training a good class...
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
2007/12/31
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...
Expanding Training Set for Chinese Sign Language Recognition
Chinese Sign Language Recognition Training Set
2006/12/31
In Sign Language recognition, one of the problems is to collect enough training data. Almost all of the statistical methods used in Sign Language Recognition suffer from this problem. Inspired by the ...
We present a novel method to enhance training set for face detection with nonlinearly generated examples from the original data. The motivation is from Support Vector
Machines (SVM) that, for classif...
Expand Training Set for Face Detection by GA Re-sampling
Expand Training Set Face Detection GA Re-sampling
2004/12/31
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...