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» Indifference-zone subset selection procedures: using sample ...
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ESEM
2007
ACM
13 years 9 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
ICPR
2008
IEEE
13 years 11 months ago
Score based biometric template selection
A biometric identification procedure usually contains two stages: registration and authentication. Most biometric systems capture multiple samples of the same biometric trait (e.g...
Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Ch...
BMCBI
2010
150views more  BMCBI 2010»
13 years 2 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
MCS
2010
Springer
13 years 7 months ago
Dynamic Selection of Ensembles of Classifiers Using Contextual Information
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
Paulo Rodrigo Cavalin, Robert Sabourin, Ching Y. S...
ICCV
2005
IEEE
14 years 7 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie