Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models

Jing Wu, William A. P. Smith, Edwin R. Hancock. Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models. In José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Josef Kittler, editors, Progress in Pattern Recognition, Image Analysis and Applications, 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006, Proceedings. Volume 4225 of Lecture Notes in Computer Science, pages 58-67, Springer, 2006. [doi]

Abstract

Abstract is missing.