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ICCV
2011
IEEE
14 years 6 months ago
Gradient-based learning of higher-order image features
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
Roland Memisevic
CVPR
2006
IEEE
16 years 8 months ago
Recognize High Resolution Faces: From Macrocosm to Microcosm
Human faces manifest distinct structures and characteristics when observed in different scales. Traditional face recognition techniques mainly rely on low-resolution face images, ...
Dahua Lin, Xiaoou Tang
ICML
2000
IEEE
16 years 7 months ago
Constructive Feature Learning and the Development of Visual Expertise
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
Justus H. Piater, Roderic A. Grupen
ICIAP
2007
ACM
16 years 7 months ago
Generalization in Holistic versus Analytic Processing of Faces
The distinction between holistic and analytical (or feature-based) approaches to face recognition is widely held to be an important dimension of face recognition research. Holisti...
Manuele Bicego, Albert Ali Salah, Enrico Grosso, M...
WACV
2008
IEEE
16 years 1 months ago
Iris Extraction Based on Intensity Gradient and Texture Difference
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Guodong Guo, Michael J. Jones