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» Informative sampling for large unbalanced data sets
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WWW
2009
ACM
14 years 8 months ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang
ECCV
2004
Springer
14 years 1 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
ICPR
2008
IEEE
14 years 2 months ago
An example based image retrieval system for the TRACE repository
The ability to identify particular features and structures, such as faces or types of scenery in images, is a topic with many available applications and potential solutions. In th...
Robbie Lamb, Rafal A. Angryk, Piet Martiens
SP
2007
IEEE
14 years 2 months ago
ShieldGen: Automatic Data Patch Generation for Unknown Vulnerabilities with Informed Probing
In this paper, we present ShieldGen, a system for automatically generating a data patch or a vulnerability signature for an unknown vulnerability, given a zero-day attack instance...
Weidong Cui, Marcus Peinado, Helen J. Wang, Michae...
INFOVIS
2005
IEEE
14 years 1 months ago
Parallel Sets: Visual Analysis of Categorical Data
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
Fabian Bendix, Robert Kosara, Helwig Hauser