We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
This paper describes tools for character string recognition on maps. Single character recognition is performed using elliptical Fourier descriptors applying a statistical classi er...
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
Image processing technology plays an important part in the analysis and evaluation of pavement surface cracking. The pattern recognition method for crack geometry proposed in this...
This paper compares the identification rates of a speaker recognition system using several parameterizations, with special emphasis on the residual signal obtained from linear and...