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ICCV
1999
IEEE
14 years 9 days ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
CAIP
1995
Springer
101views Image Analysis» more  CAIP 1995»
13 years 11 months ago
Tools for Automatic Recognition of Character Strings in Maps
This paper describes tools for character string recognition on maps. Single character recognition is performed using elliptical Fourier descriptors applying a statistical classi er...
Line Eikvil, Kjersti Aas, Marit Holden
SLSFS
2005
Springer
14 years 1 months ago
Discrete Component Analysis
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-...
Wray L. Buntine, Aleks Jakulin
MVA
1994
100views Computer Vision» more  MVA 1994»
13 years 9 months ago
Image Analysis for Automated Pavement Cracking Evaluation
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...
Hideki Shimamura, Kazuhiro Oonuma, Yoshizumi Yasud...
NOLISP
2007
Springer
14 years 2 months ago
On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition
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...
Marcos Faúndez-Zanuy