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Document classification is widely applied in many scientific areas and academic environments, using NLP techniques and term extraction algorithms like CValue, TfIdf, TermEx, GlossEx, Weirdness and the...
Screening mammograms is a repetitive task that causes fatigue and eye strain since for every thousand cases analyzed by a radiologist, only 3–4 are cancerous and thus an abnormality may be overlooked....
Gabor feature has been widely recognized as one of the best representations for face recognition. However,traditionally, it has to be reduced in dimension due to curse of dimensionality. In this pape...
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor Fisher Classifier (AGF...
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC)for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed and applied to face rec...
This paper has put forward a new architecture classifier method for Chinese sign language recognition (CSLR) to improve the performance of recognition. It is a signer-independent method, to recognize ...
Feature extraction, discriminant analysis, and classification rules are three crucial issues for face recognition. This paper presents method, named GaborfaceSVM, to handle three issues together. For...

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