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ICONIP
2004
15 years 8 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
BILDMED
2009
111views Algorithms» more  BILDMED 2009»
15 years 8 months ago
Model-Based Characterization of Mammographic Masses
Abstract. The discrimination of benign and malignant types of mammographic masses is a major challenge for radiologists. The classic eigenfaces method was recently adapted for the ...
Sven-René von der Heidt, Matthias Elter, Th...
BC
2005
73views more  BC 2005»
15 years 6 months ago
Modeling the acceleration sensitive neurons in the pigeon optokinetic system
Recent physiological findings revealed that about one-third of motion-sensitive neurons in the pigeon's pretectal nucleus encoded the acceleration of visual motion. Here we pr...
Chuan Zhang, Yun-jiu Wang, Xiang-lin Qi
ESWA
2008
223views more  ESWA 2008»
15 years 6 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
3DOR
2010
15 years 1 months ago
Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes
We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes ...
Hamid Laga