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» PCA in Autocorrelation Space
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ICPR
2008
IEEE
15 years 6 months ago
An evaluation of bi-modal facial appearance+facial expression face biometrics
This paper introduces a framework that employs the Fisher linear discriminant model (FLDM) and classifier (FLDC) on integrated facial appearance and facial expression features. T...
Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz, Tony Ja...
90
Voted
MM
2006
ACM
120views Multimedia» more  MM 2006»
15 years 6 months ago
Mapping learning in eigenspace for harmonious caricature generation
This paper proposes a mapping learning approach for caricature auto-generation. Simulating the artist’s creativity based on the object’s facial feature, our approach targets d...
Junfa Liu, Yiqiang Chen, Wen Gao
123
Voted
ICIAR
2004
Springer
15 years 5 months ago
Visual Object Recognition Through One-Class Learning
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...
QingHua Wang, Luís Seabra Lopes, David M. J...
82
Voted
ICPR
2000
IEEE
15 years 4 months ago
Multispectral Image Fusion Using Local Mapping Techniques
In this paper, fusion of multispectral images for visualization is aimed at, based on the projection of the scatterdiagrams onto a one-dimensional space. Linear as well as nonline...
Paul Scheunders
95
Voted
NIPS
2001
15 years 1 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter