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» Separable PCA for image classification
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ICIP
2009
IEEE
16 years 22 days ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
109
Voted
NN
2000
Springer
159views Neural Networks» more  NN 2000»
14 years 11 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
ICIP
2010
IEEE
14 years 9 months ago
Geometrical features for the classification of very high resolution multispectral remote-sensing images
In order to extract geometrical features from a multispectral image and derive a classification, an approach based on the topographic map of the image is proposed. For each pixel,...
Bin Luo, Jocelyn Chanussot
89
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CVIU
2006
76views more  CVIU 2006»
14 years 11 months ago
Homeostatic image perception: An artificial system
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
Thomas Feldman, Laurent Younes
111
Voted
ICIP
2001
IEEE
16 years 1 months ago
Face detection from cluttered images using a polynomial neural network
In this paper, we propose a new method for face detection from cluttered images. We use a polynomial neural network (PNN) for separation of face and non-face patterns while the co...
Lin-Lin Huang, Akinobu Shimizu, Yoshihiro Hagihara...