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» Feature Construction for Back-Propagation
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ICML
2006
IEEE
15 years 10 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
VAMOS
2010
Springer
14 years 11 months ago
Using Incremental Consistency Management for Conformance Checking in Feature-Oriented Model-Driven Engineering
Feature-Oriented Model-Driven Engineering (FOMDE) is an approach that lies at the intersection of two complementary paradigms for software construction, Model Driven Engineering (M...
Roberto E. Lopez-Herrejon, Alexander Egyed, Salvad...
ASM
2010
ASM
15 years 4 months ago
A Basis for Feature-Oriented Modelling in Event-B
Abstract. Feature-oriented modelling is a well-known approach for Software Product Line (SPL) development. It is a widely used method when developing groups of related software. Wi...
Jennifer Sorge, Michael Poppleton, Michael Butler
CVIU
2007
129views more  CVIU 2007»
14 years 9 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji
ICPR
2008
IEEE
15 years 11 months ago
Harris feature vector descriptor (HFVD)
A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard devi...
Xuguang Wang, Fuchao C. Wu, Zhiheng Wang