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» A Sampling Method Focusing on Practicality
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WSC
2000
14 years 11 months ago
Simulation output analysis via dynamic batch means
This paper is focused on estimating the quality of the sample mean from a steady-state simulation experiment with consideration of computational efficiency, memory requirement, an...
Yingchieh Yeh, Bruce W. Schmeiser
ICML
2004
IEEE
15 years 10 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
ACCV
2007
Springer
15 years 3 months ago
Gesture Recognition Under Small Sample Size
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
Tae-Kyun Kim, Roberto Cipolla
ICML
2007
IEEE
15 years 10 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
ICDAR
2011
IEEE
13 years 9 months ago
An Improved Method Based on Weighted Grid Micro-structure Feature for Text-Independent Writer Recognition
: Writer recognition is a very important branch of biometrics. In our previous research, a Grid Micro-structure Feature (GMSF) based text-independent and scriptindependent method w...
Lu Xu, Xiaoqing Ding, Liangrui Peng, Xin Li