Apr 22, 2015 · A new approach for face recognition, based on kernel principal component analysis (KPCA) and support vector machines (SVMs), is presented to ...
A new approach for face recognition, based on kernel principal component analysis (KPCA) and support vector machines (SVMs), is presented to improve the ...
A new approach for face recognition, based on kernel principal component analysis (KPCA) and support vector machines (SVMs), is presented to improve the ...
In this paper, a face recognition approach based on the SVM classifier with the, nearest neighbor classifier (NNC) is proposed. The principal component analysis ...
Abstract A new approach for face recognition, based on ker- nel principal component analysis (KPCA) and support vector machines (SVMs), is presented to ...
In this paper, design and implement of face recognition system are introduced. In this system, a combination of principal component analysis (PCA) and wavelet ...
Identity management based on PCA and SVM. https://doi.org/10.1007/s10796-015 ... An SVM-based machine learning method for accurate internet traffic classification ...
People also ask
What is PCA and SVM?
What is the identity management standard?
A new approach for face recognition, based on kernel principal component analysis (KPCA) and support vector machines (SVMs), is presented to improve the ...
We evaluated the impact of PCA on EEG/ERP SVM-based decoding performance. •. We examined a broad set of datasets, spanning easy and difficult decoding tasks ...
Assessing the effectiveness of spatial PCA on SVM-based decoding of ...
pubmed.ncbi.nlm.nih.gov › ...
The goal of the present study was to provide an evaluation of the effectiveness of PCA on decoding accuracy (using support vector machines) across a broad range ...
Missing: management | Show results with:management