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CVPR
2007
IEEE
13 years 11 months ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
ICAISC
2010
Springer
13 years 7 months ago
Pruning Classification Rules with Reference Vector Selection Methods
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
Karol Grudzinski, Marek Grochowski, Wlodzislaw Duc...
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
13 years 11 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ICPR
2004
IEEE
14 years 8 months ago
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
José Martínez Sotoca, José Sa...
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
14 years 1 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...