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» Anomaly Detection Using an Ensemble of Feature Models
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ICC
2007
IEEE
141views Communications» more  ICC 2007»
14 years 2 months ago
A Hybrid Model to Detect Malicious Executables
— We present a hybrid data mining approach to detect malicious executables. In this approach we identify important features of the malicious and benign executables. These feature...
Mohammad M. Masud, Latifur Khan, Bhavani M. Thurai...
ESANN
2006
13 years 9 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
ENC
2004
IEEE
13 years 11 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
COGCOM
2011
213views more  COGCOM 2011»
13 years 2 months ago
Spatiotemporal Features for Action Recognition and Salient Event Detection
Although the mechanisms of human visual understanding remain partially unclear, computational models inspired by existing knowledge on human vision have emerged and applied to seve...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
PRDC
2002
IEEE
14 years 20 days ago
Detecting Feature Interactions in Telecommunication Services with a SAT Solver
Feature interaction is a kind of inconsistent conflict between multiple communication services and considered an obstacle to developing reliable telephony systems. In this paper ...
Tatsuhiro Tsuchiya, Masahide Nakamura, Tohru Kikun...