ICAPR
2005
Springer
14 years 9 months ago
2005
Springer
We present a new approach to detecting defects in random textures which requires only very few defect free samples for unsupervised training. Each product image is divided into ove...
ICML
2007
IEEE
15 years 4 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...