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TKDE
2011
479views more  TKDE 2011»
13 years 1 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
VAMOS
2007
Springer
14 years 14 days ago
FAMA: Tooling a Framework for the Automated Analysis of Feature Models
The automated analysis of feature models is recognized as one of the key challenges for automated software development in the context of Software Product Lines (SPL). However, aft...
David Benavides, Sergio Segura, Pablo Trinidad, An...
ICPR
2004
IEEE
14 years 7 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou
ISBI
2006
IEEE
14 years 7 months ago
Automatic registration of mammograms using texture-based anisotropic features
In this paper, an automated registration framework is proposed to identify the differences between corresponding mammographic images. The deformation between a pair of mammograms ...
Kexiang Wang, Hong Qin, Paul R. Fisher, Wei Zhao
ICPR
2006
IEEE
14 years 7 months ago
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
Pavel Pudil, Petr Somol