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Abstract. An enhanced algorithm to recognize the human face using bi-dimensional fractal codes and deep belief networks is presented in this work.
Oct 1, 2021 · An enhanced algorithm to recognize the human face using bi-dimensional fractal codes and deep belief networks is presented in this work.
ABSTRACT. Anenhancedalgorithmtorecognizethehumanfaceusingbi-dimensionalfractalcodesanddeepbelief networksispresentedinthiswork.
Abstract: An enhanced algorithm to recognize the human face using bi-dimensional fractal codes and deep belief networks is presented in this work.
An enhanced algorithm to recognize the human face using bi-dimensional fractal codes and deep belief networks is presented in this work.
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PDF | In this paper we propose a new method for face recognition using fractal codes. Fractal codes represent local contractive, affine transformations.
Missing: Belief | Show results with:Belief
Mar 15, 2018 · This method is to compress the facial images to obtain fractal codes and complete face recognition with these codes. Experimental results on ...
Missing: Belief | Show results with:Belief
For the deep learning methods, CNN is capable of learning local features from the input images and complete recogni- tion. A typical CNN classifier is consisted ...
Missing: Belief | Show results with:Belief
This method is to compress the facial images to obtain fractal codes and complete face recognition with these codes. Experimental results on Yale, FERET and CMU ...
Viola-Jones detector works on building a cascade of weak classifiers using the AdaBoost learning algorithm to extract and detect the most important facial ...