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» Combining Methods for Dynamic Multiple Classifier Systems
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BMCBI
2011
14 years 10 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
NIPS
1996
15 years 5 months ago
Combinations of Weak Classifiers
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...
Chuanyi Ji, Sheng Ma
MCS
2007
Springer
15 years 10 months ago
Classifier Combining Rules Under Independence Assumptions
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
Shoushan Li, Chengqing Zong
SCIA
2007
Springer
111views Image Analysis» more  SCIA 2007»
15 years 10 months ago
Scale-Space Texture Classification Using Combined Classifiers
Abstract. Since texture is scale dependent, multi-scale techniques are quite useful for texture classification. Scale-space theory introduces multi-scale differential operators. In...
Mehrdad J. Gangeh, Bart M. ter Haar Romeny, C. Esw...
MCS
2010
Springer
15 years 6 months ago
Multiple Classifier Systems under Attack
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
Battista Biggio, Giorgio Fumera, Fabio Roli