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https://papers.nips.cc/paper/1609-support-vector-machines-applied-to-face-recognition.pdf
Support Vector Machines Applied to Face Recognition 805 SVM can be extended to nonlinear decision surfaces by using a kernel K ( " .) that satisfies Mercer's condition [1, 7]. The nonlinear decision surface is L Ns oWiK(sj, z) + b = O. i= l A facial image is represented as a vector P …
https://www.researchgate.net/publication/2427763_Face_Recognition_by_Support_Vector_Machines
Support Vector Machines (SVMs) have been recently proposed as a new technique for pattern recognition. In this paper, the SVMs with a binary tree recognition strategy are used to tackle the face ...
https://ieeexplore.ieee.org/document/840634/
Mar 30, 2000 · Abstract: Support vector machines (SVM) have been recently proposed as a new technique for pattern recognition. SVM with a binary tree recognition strategy are used to tackle the face recognition problem. We illustrate the potential of SVM on the Cambridge ORL face database, which consists of 400 images of 40 individuals, containing quite a high degree of variability in expression, …Cited by: 747
https://www.nist.gov/publications/support-vector-machines-applied-face-recognition
Face recognition is a K class problem, where K is the number of known individuals; and support vector machines (SVMs) are a binary classification method. By reformulating the face recognition problem and re-interpreting the output of the SVM classifier, we developed a SVM-based face recognition algorithm.Cited by: 4
http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/FG2000Guo.pdf
sis (PCA) for the face representation and recognition. Ev-ery face image in the database is represented as a vector of weights, which is the projection of the face image to the ba-sis in the eigenface space. Usually the nearest distance cri-terion is used for face recognition. Support Vector Machines (SVMs) have been recently
http://cbcl.mit.edu/publications/ps/iccv2001.pdf
Face Recognition with Support Vector Machines: Global versus Component-based Approach Bernd Heisele Purdy Ho Tomaso Poggio Massachusetts Institute of Technology Center for Biological and Computational Learning Cambridge, MA 02142 [email protected] [email protected] [email protected] Abstract We present a component-based method and two global
https://www.sciencedirect.com/science/article/pii/S0262885601000464
Aug 01, 2001 · Support vector machines (SVMs) have been recently proposed as a new learning network for bipartite pattern recognition. In this paper, SVMs incorporated with a binary tree recognition strategy are proposed to tackle the multi-class face recognition problem.Cited by: 640
https://jakevdp.github.io/PythonDataScienceHandbook/05.07-support-vector-machines.html
Example: Face Recognition¶ As an example of support vector machines in action, let's take a look at the facial recognition problem. We will use the Labeled Faces in the Wild dataset, which consists of several thousand collated photos of various public figures. A fetcher for the dataset is built into Scikit-Learn:
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