Zitouni, HilalBulut, Muhammed FatihDuygulu, Pınar2016-02-082016-02-082009-09http://hdl.handle.net/11693/28671Date of Conference: 14-16 Sept. 2009Conference name: 24th International Symposium on Computer and Information Sciences, ISCIS 2009We propose a graph based method in order to recognize the faces that appear on the web using a small training set. First, relevant pictures of the desired people are collected by querying the name in a text based search engine in order to construct the data set. Then, detected faces in these photographs are represented using SIFT features extracted from facial features. The similarities of faces are represented in a graph which is then used in random walk with restart algorithm to provide links between faces. Those links are used for recognition by using two different methods. © 2009 IEEE.EnglishFaceFace detectionNamesPhotographsRandom walkData setsFacial featureGraph-based methodsRandom walk with restartSIFT FeatureSmall trainingInformation scienceNatural language processing systemsSearch enginesWorld Wide WebPhotographyConference Paper10.1109/ISCIS.2009.5291920