file.pdf (601.96 kB)
Download file

Person Identification in Webcam Images: An Application of Semi-Supervised Learning

Download (601.96 kB)
journal contribution
posted on 01.09.2009, 00:00 authored by Maria-Florina Balcan, Avrim Blum, Patrick Pakyan Choi, John D. Lafferty, Brian Pantano, Mugizi Robert Rwebangira, Xiaojin Zhu
An application of semi-supervised learning is made to the problem of person identification in low quality webcam images. Using a set of images of ten people collected over a period of four months, the person identification task is posed as a graph-based semi-supervised learning problem, where only a few training images are labeled. The importance of domain knowledge in graph construction is discussed, and experiments are presented that clearly show the advantage of semi-supervised learning over standard supervised learning. The data used in the study is available to the research community to encourage further investigation of this problem.


Publisher Statement

All Rights Reserved



Usage metrics