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» Semi-Naive Bayesian Classifier
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ACMSE
2006
ACM
13 years 9 months ago
Hybrid intelligent systems for network security
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...
J. Lane Thames, Randal Abler, Ashraf Saad
ICCV
2009
IEEE
15 years 14 days ago
Patch based Within-Object Classification
Advances in object detection have made it possible to collect large databases of certain objects. In this paper we exploit these datasets for within-object classification. For e...
Jania Aghajanian, Jonathan Warrell, Simon J.D. Pri...
MICCAI
2008
Springer
14 years 8 months ago
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI
Abstract. The automation of segmentation of medical images is an active research area. However, there has been criticism of the standard of evaluation of methods. We have comprehen...
Kolawole O. Babalola, Brian Patenaude, Paul Alja...
ICML
2006
IEEE
14 years 8 months ago
Efficient lazy elimination for averaged one-dependence estimators
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
Fei Zheng, Geoffrey I. Webb
IROS
2008
IEEE
118views Robotics» more  IROS 2008»
14 years 1 months ago
Laban Movement Analysis for multi-ocular systems
Abstract— We present as a contribution to the field of humanmachine interaction a system that analyzes human movements online through multiple observers, based on the concept of...
Jörg Rett, Luis Santos, Jorge Dias