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» Boosting Object Detection Using Feature Selection
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156
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BMCBI
2008
219views more  BMCBI 2008»
15 years 2 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
108
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ACIVS
2010
Springer
15 years 18 days ago
Exploiting Neighbors for Faster Scanning Window Detection in Images
Detection of objects through scanning windows is widely used and accepted method. The detectors traditionally do not make use of information that is shared between neighboring imag...
Pavel Zemcík, Michal Hradis, Adam Herout
105
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ICCV
2009
IEEE
16 years 7 months ago
Detecting Interpretable and Accurate Scale-Invariant keypoints
This paper presents a novel method for detecting scale invariant keypoints. It fills a gap in the set of available methods, as it proposes a scale-selection mechanism for juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...
122
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ICPR
2010
IEEE
15 years 7 months ago
Selection of Training Instances for Music Genre Classification
In this paper we present a method for the selection of training instances based on the classification accuracy of a SVM classifier. The instances consist of feature vectors repres...
Miguel Lopes, Fabien Gouyon, Alessandro Koerich, L...
146
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JAIHC
2010
205views more  JAIHC 2010»
15 years 1 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
Chet Langin, Shahram Rahimi