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IEEEICCI
2002
IEEE
15 years 11 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
15 years 11 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
EH
2000
IEEE
123views Hardware» more  EH 2000»
15 years 11 months ago
The Test Vector Problem and Limitations to Evolving Digital Circuits
How do we know the correctness of an evolved circuit? While Evolutionary Hardware is exhibiting its effectiveness, we argue that it is very difficult to design a large-scale digit...
Kosuke Imamura, James A. Foster, Axel W. Krings
ICPR
2000
IEEE
15 years 11 months ago
Face Detection Based on Generic Local Descriptors and Spatial Constraints
In this paper we present an algorithm for face detection that is based on generic local descriptors (e.g. eyes). A generic descriptor captures the distribution of individual descr...
Veronika Vogelhuber, Cordelia Schmid
FGR
1996
IEEE
159views Biometrics» more  FGR 1996»
15 years 10 months ago
Adaptive Automatic Facial Feature Segmentation
Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove t...
Hasan Demirel, Thomas J. Clarke, Peter Y. K. Cheun...